Brilliant Maps

13 Shocking European Gender Stereotype Maps

Brilliant Maps — Mon, 16 Mar 2026 12:42:18 +0000

The following maps all come from data taken from Special Eurobarometer 545 Gender Stereotypes published in early 2024.

And it should be noted the surveys included both men and women in roughly equal number.

The full methodology can be found here.

I’ve published the maps below along with the underlying data so you can make your own conclusions:

Feminism has “gone too far” (%)

Map created by gen.zette

The data by country:

Country	Total 'Agree'	Total 'Disagree'	Totally agree	Tend to agree	Tend to disagree	Totally disagree	It depends (SPONTANEOUS)	Don't know
European Union (EU27)	45%	48%	17%	28%	28%	20%	2%	5%
Belgium	47%	50%	16%	31%	31%	19%	1%	2%
Bulgaria	44%	35%	17%	27%	26%	9%	9%	12%
Czechia	52%	40%	21%	31%	28%	12%	2%	6%
Denmark	48%	42%	21%	27%	17%	25%	4%	6%
Germany	34%	56%	12%	22%	29%	27%	4%	6%
Estonia	54%	27%	23%	31%	19%	8%	4%	15%
Ireland	47%	43%	18%	29%	26%	17%	2%	8%
Greece	49%	45%	21%	28%	30%	15%	2%	4%
Spain	53%	43%	27%	26%	22%	21%	1%	3%
France	54%	39%	21%	33%	22%	17%	1%	6%
Croatia	44%	49%	14%	30%	32%	17%	3%	4%
Italy	48%	49%	18%	30%	30%	19%	1%	2%
Cyprus	63%	30%	35%	28%	20%	10%	1%	6%
Latvia	51%	31%	21%	30%	22%	9%	2%	16%
Lithuania	49%	34%	22%	27%	25%	9%	3%	14%
Luxembourg	43%	48%	16%	27%	28%	20%	6%	3%
Hungary	46%	47%	14%	32%	30%	17%	2%	5%
Malta	61%	33%	18%	43%	22%	11%	2%	4%
Netherlands	34%	61%	11%	23%	25%	36%	1%	4%
Austria	47%	41%	15%	32%	25%	16%	6%	6%
Poland	44%	50%	13%	31%	38%	12%	3%	3%
Portugal	46%	44%	5%	41%	30%	14%	3%	7%
Romania	42%	50%	13%	29%	36%	14%	2%	6%
Slovenia	55%	40%	29%	26%	26%	14%	1%	4%
Slovakia	49%	39%	15%	34%	30%	9%	3%	9%
Finland	47%	42%	20%	27%	21%	21%	5%	6%
Sweden	34%	63%	10%	24%	16%	47%	1%	2%

The most important role of a woman is to take care of her home and family (%)

Map created by gen.zette

Country	Total 'Agree'	Total 'Disagree'	Totally agree	Tend to agree	Tend to disagree	Totally disagree	It depends (SPONTANEOUS)	Don't know
European Union (EU27)	38%	60%	12%	26%	28%	32%	1%	1%
Belgium	31%	67%	5%	22%	31%	36%	2%	0%
Bulgaria	74%	25%	35%	39%	19%	6%	0%	1%
Czechia	67%	30%	22%	45%	19%	11%	1%	2%
Denmark	10%	87%	2%	8%	16%	71%	2%	1%
Germany	32%	65%	9%	23%	30%	35%	2%	1%
Estonia	59%	35%	20%	39%	22%	13%	5%	1%
Ireland	40%	56%	14%	26%	25%	31%	2%	2%
Greece	53%	46%	17%	36%	31%	15%	1%	0%
Spain	23%	75%	8%	15%	23%	52%	1%	1%
France	26%	72%	9%	17%	29%	43%	0%	2%
Croatia	45%	53%	16%	29%	34%	19%	1%	1%
Italy	38%	61%	12%	26%	36%	25%	0%	1%
Cyprus	51%	46%	23%	28%	23%	23%	0%	3%
Latvia	59%	39%	28%	31%	27%	12%	1%	0%
Lithuania	60%	38%	22%	38%	25%	13%	1%	1%
Luxembourg	22%	72%	7%	15%	35%	37%	5%	1%
Hungary	70%	28%	29%	41%	19%	9%	1%	1%
Malta	46%	53%	13%	33%	30%	23%	1%	0%
Netherlands	13%	85%	1%	11%	23%	62%	2%	0%
Austria	41%	53%	13%	28%	31%	22%	4%	2%
Poland	71%	27%	22%	49%	19%	8%	1%	0%
Portugal	39%	58%	6%	34%	40%	18%	1%	2%
Romania	62%	36%	26%	36%	28%	8%	1%	1%
Slovenia	50%	50%	19%	31%	28%	22%	0%	0%
Slovakia	70%	27%	25%	45%	20%	7%	2%	1%
Finland	24%	70%	6%	18%	29%	41%	5%	1%
Sweden	11%	88%	2%	9%	18%	70%	0%	1%

It is acceptable for men to cry (%)

Country	Total 'Agree'	Total 'Disagree'	Totally agree	Tend to agree	Tend to disagree	Totally disagree	It depends (SPONTANEOUS)	Don't know
European Union (EU27)	85%	13%	51%	34%	9%	4%	1%	1%
Belgium	86%	13%	54%	32%	8%	5%	0%	1%
Bulgaria	67%	26%	25%	42%	17%	9%	2%	5%
Czechia	84%	13%	43%	41%	9%	4%	0%	3%
Denmark	92%	5%	82%	10%	3%	2%	1%	2%
Germany	88%	10%	54%	34%	7%	3%	0%	1%
Estonia	73%	19%	35%	38%	13%	6%	5%	3%
Ireland	91%	6%	59%	32%	4%	2%	1%	2%
Greece	89%	11%	47%	42%	8%	3%	0%	0%
Spain	95%	4%	76%	19%	2%	2%	0%	1%
France	91%	8%	60%	31%	5%	3%	0%	1%
Croatia	76%	21%	28%	48%	14%	7%	1%	2%
Italy	85%	14%	38%	47%	11%	3%	0%	1%
Cyprus	83%	15%	49%	34%	7%	8%	0%	2%
Latvia	71%	22%	43%	28%	16%	6%	4%	3%
Lithuania	69%	29%	27%	42%	20%	9%	1%	1%
Luxembourg	94%	5%	73%	21%	2%	3%	1%	0%
Hungary	75%	22%	31%	44%	15%	7%	1%	2%
Malta	92%	7%	41%	51%	5%	2%	1%	0%
Netherlands	95%	5%	79%	16%	3%	2%	0%	0%
Austria	74%	21%	37%	37%	13%	8%	3%	2%
Poland	70%	27%	22%	48%	20%	7%	2%	1%
Portugal	91%	6%	41%	50%	4%	2%	1%	2%
Romania	64%	34%	24%	40%	23%	11%	1%	1%
Slovenia	80%	18%	48%	32%	11%	7%	1%	1%
Slovakia	73%	19%	26%	47%	14%	5%	3%	5%
Finland	96%	3%	86%	10%	2%	1%	1%	0%
Sweden	98%	1%	95%	3%	1%	0%	0%	1%

The most important role of a man is to earn money (%)

Country	Total 'Agree'	Total 'Disagree'	Totally agree	Tend to agree	Tend to disagree	Totally disagree	It depends (SPONTANEOUS)	Don't know
European Union (EU27)	42%	56%	15%	27%	28%	28%	1%	1%
Belgium	36%	63%	11%	25%	33%	30%	1%	0%
Bulgaria	74%	23%	37%	37%	17%	6%	1%	2%
Czechia	65%	32%	26%	39%	22%	10%	1%	2%
Denmark	13%	84%	4%	9%	19%	65%	2%	1%
Germany	38%	60%	14%	24%	29%	31%	2%	0%
Estonia	55%	38%	20%	35%	24%	14%	5%	2%
Ireland	34%	62%	13%	21%	29%	33%	2%	2%
Greece	54%	46%	22%	32%	33%	13%	0%	0%
Spain	26%	72%	9%	17%	25%	47%	1%	1%
France	34%	64%	10%	24%	27%	37%	0%	2%
Croatia	48%	50%	18%	30%	32%	18%	1%	1%
Italy	46%	53%	15%	31%	36%	17%	0%	1%
Cyprus	53%	44%	26%	27%	22%	22%	1%	2%
Latvia	60%	38%	30%	30%	26%	12%	1%	1%
Lithuania	57%	41%	23%	34%	28%	13%	1%	1%
Luxembourg	26%	70%	8%	18%	34%	36%	3%	1%
Hungary	71%	27%	31%	40%	19%	8%	1%	1%
Malta	44%	55%	10%	34%	34%	21%	1%	0%
Netherlands	16%	81%	3%	13%	27%	54%	2%	0%
Austria	46%	49%	16%	30%	29%	20%	3%	2%
Poland	69%	29%	25%	44%	21%	8%	1%	1%
Portugal	40%	58%	6%	34%	41%	17%	1%	1%
Romania	60%	38%	29%	31%	28%	10%	0%	2%
Slovenia	39%	60%	16%	23%	35%	25%	1%	0%
Slovakia	75%	22%	32%	43%	17%	5%	2%	1%
Finland	18%	76%	5%	13%	27%	49%	5%	1%
Sweden	11%	89%	4%	7%	14%	75%	0%	0%

For important family decisions men should have a final say (%)

Country	Total 'Agree'	Total 'Disagree'	Totally agree	Tend to agree	Tend to disagree	Totally disagree	It depends (SPONTANEOUS)	Don't know
European Union (EU27)	20%	77%	6%	14%	27%	50%	1%	2%
Belgium	17%	81%	5%	12%	28%	53%	1%	1%
Bulgaria	47%	48%	19%	28%	30%	18%	3%	2%
Czechia	26%	70%	7%	19%	32%	38%	1%	3%
Denmark	4%	92%	2%	2%	11%	81%	2%	2%
Germany	12%	84%	3%	9%	26%	58%	2%	2%
Estonia	27%	60%	10%	17%	26%	34%	7%	6%
Ireland	15%	81%	3%	12%	26%	55%	1%	3%
Greece	23%	74%	7%	16%	34%	40%	2%	1%
Spain	11%	87%	2%	9%	16%	71%	1%	1%
France	8%	89%	3%	5%	24%	65%	1%	2%
Croatia	30%	68%	9%	21%	37%	31%	1%	1%
Italy	27%	71%	9%	18%	37%	34%	0%	2%
Cyprus	24%	73%	8%	16%	29%	44%	0%	3%
Latvia	31%	62%	12%	19%	37%	25%	5%	2%
Lithuania	20%	74%	7%	13%	36%	38%	4%	2%
Luxembourg	9%	87%	3%	6%	21%	66%	3%	1%
Hungary	44%	54%	14%	30%	30%	24%	1%	1%
Malta	10%	86%	3%	7%	17%	69%	3%	1%
Netherlands	3%	95%	1%	2%	13%	82%	1%	1%
Austria	27%	65%	8%	19%	28%	37%	5%	3%
Poland	49%	48%	16%	33%	31%	17%	2%	1%
Portugal	22%	74%	4%	18%	46%	28%	3%	1%
Romania	37%	60%	11%	26%	37%	23%	1%	2%
Slovenia	18%	79%	6%	12%	28%	51%	2%	1%
Slovakia	41%	54%	16%	25%	34%	20%	3%	2%
Finland	5%	89%	2%	3%	16%	73%	5%	1%
Sweden	2%	96%	1%	1%	4%	92%	1%	1%

Having children is more fulfilling for a woman than for a man (%)

Country	Total 'Agree'	Total 'Disagree'	Totally agree	Tend to agree	Tend to disagree	Totally disagree	It depends (SPONTANEOUS)	Don't know
European Union (EU27)	43%	53%	13%	30%	25%	28%	1%	3%
Belgium	33%	63%	7%	26%	32%	31%	2%	2%
Bulgaria	47%	49%	21%	26%	29%	20%	2%	2%
Czechia	65%	31%	20%	45%	18%	13%	1%	3%
Denmark	20%	73%	6%	14%	19%	54%	2%	5%
Germany	42%	53%	13%	29%	27%	26%	2%	3%
Estonia	47%	40%	12%	35%	23%	17%	7%	6%
Ireland	38%	53%	12%	26%	25%	28%	2%	7%
Greece	76%	23%	34%	42%	17%	6%	0%	1%
Spain	32%	63%	9%	23%	19%	44%	1%	4%
France	24%	73%	6%	18%	28%	45%	0%	3%
Croatia	58%	39%	20%	38%	30%	9%	1%	2%
Italy	52%	46%	15%	37%	29%	17%	0%	2%
Cyprus	67%	29%	31%	36%	15%	14%	1%	3%
Latvia	40%	52%	13%	27%	32%	20%	4%	4%
Lithuania	50%	45%	16%	34%	25%	20%	2%	3%
Luxembourg	20%	67%	5%	15%	27%	40%	9%	4%
Hungary	79%	20%	35%	44%	15%	5%	0%	1%
Malta	21%	76%	4%	17%	27%	49%	2%	1%
Netherlands	21%	72%	3%	18%	22%	50%	2%	5%
Austria	46%	46%	15%	31%	29%	17%	4%	4%
Poland	70%	28%	20%	50%	19%	9%	1%	1%
Portugal	45%	52%	10%	35%	34%	18%	2%	1%
Romania	49%	49%	19%	30%	33%	16%	1%	1%
Slovenia	37%	60%	13%	24%	30%	30%	2%	1%
Slovakia	72%	25%	29%	43%	19%	6%	2%	1%
Finland	22%	62%	5%	17%	25%	37%	8%	8%
Sweden	19%	78%	5%	14%	10%	68%	0%	3%

Men would also benefit from equality between women and men (%)

Country	Total 'Agree'	Total 'Disagree'	Totally agree	Tend to agree	Tend to disagree	Totally disagree	It depends (SPONTANEOUS)	Don't know
European Union (EU27)	75%	19%	34%	41%	13%	6%	2%	4%
Belgium	72%	24%	28%	44%	19%	5%	1%	3%
Bulgaria	72%	17%	33%	39%	12%	5%	5%	6%
Czechia	72%	20%	25%	47%	12%	8%	2%	6%
Denmark	83%	9%	60%	23%	4%	5%	3%	5%
Germany	73%	20%	33%	40%	14%	6%	2%	5%
Estonia	61%	24%	21%	40%	16%	8%	4%	11%
Ireland	83%	11%	38%	45%	7%	4%	2%	4%
Greece	80%	17%	30%	50%	14%	3%	0%	3%
Spain	71%	23%	40%	31%	12%	11%	1%	5%
France	75%	17%	34%	41%	10%	7%	1%	7%
Croatia	78%	19%	27%	51%	13%	6%	1%	2%
Italy	80%	17%	34%	46%	13%	4%	0%	3%
Cyprus	82%	13%	47%	35%	9%	4%	0%	5%
Latvia	68%	22%	30%	38%	17%	5%	3%	7%
Lithuania	71%	20%	29%	42%	14%	6%	3%	6%
Luxembourg	74%	18%	35%	39%	11%	7%	4%	4%
Hungary	72%	23%	23%	49%	16%	7%	2%	3%
Malta	79%	18%	25%	54%	11%	7%	1%	2%
Netherlands	89%	8%	61%	28%	5%	3%	1%	2%
Austria	65%	23%	25%	40%	17%	6%	5%	7%
Poland	75%	21%	21%	54%	16%	5%	2%	2%
Portugal	85%	10%	22%	63%	7%	3%	2%	3%
Romania	66%	29%	21%	45%	22%	7%	1%	4%
Slovenia	74%	22%	37%	37%	15%	7%	2%	2%
Slovakia	78%	12%	30%	48%	10%	2%	3%	7%
Finland	91%	6%	63%	28%	4%	2%	1%	2%
Sweden	96%	2%	84%	12%	1%	1%	0%	2%

All in all, family life suffers when the mother has a full time job (%)

Country	Total 'Agree'	Total 'Disagree'	Totally agree	Tend to agree	Tend to disagree	Totally disagree	It depends (SPONTANEOUS)	Don't know
European Union (EU27)	51%	46%	15%	36%	31%	18%	0%	3%
Belgium	46%	52%	11%	35%	33%	19%	0%	2%
Bulgaria	58%	38%	23%	35%	28%	10%	0%	4%
Czechia	40%	56%	12%	28%	36%	20%	0%	4%
Denmark	20%	77%	5%	15%	21%	56%	0%	3%
Germany	51%	45%	19%	32%	29%	16%	0%	4%
Estonia	54%	39%	19%	35%	26%	13%	0%	7%
Ireland	41%	54%	13%	28%	32%	22%	0%	5%
Greece	70%	30%	23%	47%	23%	7%	0%	0%
Spain	54%	42%	19%	35%	21%	21%	0%	4%
France	42%	55%	13%	29%	29%	26%	0%	3%
Croatia	62%	36%	19%	43%	27%	9%	0%	2%
Italy	55%	44%	11%	44%	33%	11%	0%	1%
Cyprus	61%	36%	27%	34%	22%	14%	0%	3%
Latvia	63%	33%	25%	38%	26%	7%	0%	4%
Lithuania	73%	26%	28%	45%	20%	6%	0%	1%
Luxembourg	49%	49%	18%	31%	31%	18%	0%	2%
Hungary	70%	28%	30%	40%	22%	6%	0%	2%
Malta	69%	30%	17%	52%	20%	10%	0%	1%
Netherlands	29%	69%	8%	21%	28%	41%	0%	2%
Austria	58%	37%	23%	35%	27%	10%	0%	5%
Poland	61%	34%	15%	46%	26%	8%	0%	5%
Portugal	73%	25%	9%	64%	19%	6%	0%	2%
Romania	58%	41%	16%	42%	30%	11%	0%	1%
Slovenia	40%	59%	15%	25%	32%	27%	0%	0%
Slovakia	52%	44%	16%	36%	35%	9%	0%	4%
Finland	16%	80%	4%	12%	28%	52%	0%	4%
Sweden	25%	73%	8%	17%	17%	56%	0%	2%

Overall, men are naturally less competent than women to perform household tasks (%)

Country	Total 'Agree'	Total 'Disagree'	Totally agree	Tend to agree	Tend to disagree	Totally disagree	Don't know
European Union (EU27)	49%	49%	15%	34%	26%	23%	2%
Belgium	41%	58%	9%	32%	33%	25%	1%
Bulgaria	61%	36%	28%	33%	25%	15%	3%
Czechia	48%	49%	13%	35%	32%	17%	3%
Denmark	14%	83%	3%	11%	17%	66%	3%
Germany	49%	49%	15%	34%	28%	21%	2%
Estonia	45%	50%	14%	31%	28%	22%	5%
Ireland	45%	52%	16%	29%	27%	25%	3%
Greece	53%	47%	17%	36%	30%	17%	0%
Spain	44%	54%	17%	27%	23%	31%	2%
France	35%	63%	11%	24%	27%	36%	2%
Croatia	57%	41%	14%	43%	28%	13%	2%
Italy	63%	36%	20%	43%	25%	11%	1%
Cyprus	46%	52%	18%	28%	28%	24%	2%
Latvia	53%	44%	18%	35%	28%	16%	3%
Lithuania	57%	41%	22%	35%	25%	16%	2%
Luxembourg	31%	68%	10%	21%	33%	35%	1%
Hungary	74%	26%	27%	47%	19%	7%	0%
Malta	44%	55%	9%	35%	31%	24%	1%
Netherlands	35%	64%	10%	25%	24%	40%	1%
Austria	49%	47%	16%	33%	27%	20%	4%
Poland	64%	33%	17%	47%	27%	6%	3%
Portugal	57%	41%	12%	45%	33%	8%	2%
Romania	58%	40%	16%	42%	33%	7%	2%
Slovenia	36%	63%	14%	22%	35%	28%	1%
Slovakia	63%	34%	22%	41%	23%	11%	3%
Finland	22%	76%	9%	13%	24%	52%	2%
Sweden	19%	81%	5%	14%	9%	72%	0%

If the father’s pay is lower than that of the mother, he is the one who should give up work to look after the children, if a family decides
one parent has to do so (%)

Country	Total 'Agree'	Total 'Disagree'	Totally agree	Tend to agree	Tend to disagree	Totally disagree	Don't know
European Union (EU27)	51%	41%	18%	33%	24%	17%	8%
Belgium	45%	50%	10%	35%	32%	18%	5%
Bulgaria	53%	36%	20%	33%	21%	15%	11%
Czechia	55%	37%	15%	40%	27%	8%	8%
Denmark	32%	55%	14%	18%	20%	35%	13%
Germany	67%	24%	29%	38%	17%	7%	9%
Estonia	42%	42%	12%	30%	27%	15%	16%
Ireland	56%	33%	23%	33%	19%	14%	11%
Greece	40%	55%	10%	30%	31%	24%	5%
Spain	52%	38%	29%	23%	18%	20%	10%
France	38%	52%	11%	27%	26%	26%	10%
Croatia	53%	42%	16%	37%	28%	14%	5%
Italy	41%	53%	10%	31%	35%	18%	6%
Cyprus	46%	48%	14%	32%	17%	31%	6%
Latvia	34%	55%	9%	25%	36%	19%	11%
Lithuania	51%	38%	20%	31%	26%	12%	11%
Luxembourg	42%	48%	17%	25%	30%	18%	10%
Hungary	53%	39%	17%	36%	27%	12%	8%
Malta	61%	35%	16%	45%	23%	12%	4%
Netherlands	41%	53%	14%	27%	25%	28%	6%
Austria	55%	31%	18%	37%	20%	11%	14%
Poland	61%	32%	17%	44%	21%	11%	7%
Portugal	51%	42%	8%	43%	30%	12%	7%
Romania	45%	49%	13%	32%	37%	12%	6%
Slovenia	39%	58%	15%	24%	31%	27%	3%
Slovakia	59%	32%	17%	42%	25%	7%	9%
Finland	48%	40%	14%	34%	24%	16%	12%
Sweden	51%	44%	25%	26%	14%	30%	5%

Women should give priority to their family responsibilities over their career (%)

Country	Total 'Agree'	Total 'Disagree'	Totally agree	Tend to agree	Tend to disagree	Totally disagree	It depends (SPONTANEOUS)	Don't know
European Union (EU27)	34%	61%	9%	25%	30%	31%	2%	3%
Belgium	27%	71%	5%	22%	35%	36%	1%	1%
Bulgaria	62%	32%	21%	41%	24%	8%	2%	4%
Czechia	42%	52%	10%	32%	34%	18%	1%	5%
Denmark	14%	76%	4%	10%	21%	55%	5%	5%
Germany	33%	60%	9%	24%	32%	28%	4%	3%
Estonia	44%	42%	13%	31%	28%	14%	9%	5%
Ireland	34%	58%	9%	25%	29%	29%	3%	5%
Greece	48%	48%	13%	35%	36%	12%	3%	1%
Spain	16%	77%	5%	11%	26%	51%	2%	5%
France	22%	72%	6%	16%	30%	42%	1%	5%
Croatia	46%	50%	12%	34%	34%	16%	2%	2%
Italy	35%	63%	9%	26%	38%	25%	0%	2%
Cyprus	49%	45%	19%	30%	24%	21%	1%	5%
Latvia	33%	61%	13%	20%	39%	22%	3%	3%
Lithuania	45%	49%	12%	33%	29%	20%	4%	2%
Luxembourg	18%	71%	5%	13%	33%	38%	9%	2%
Hungary	64%	33%	23%	41%	24%	9%	2%	1%
Malta	63%	33%	15%	48%	18%	15%	3%	1%
Netherlands	10%	86%	2%	8%	24%	62%	3%	1%
Austria	43%	44%	11%	32%	26%	18%	10%	3%
Poland	58%	36%	14%	44%	26%	10%	3%	3%
Portugal	42%	53%	5%	37%	42%	11%	2%	3%
Romania	57%	41%	17%	40%	31%	10%	1%	1%
Slovenia	38%	58%	11%	27%	31%	27%	2%	2%
Slovakia	63%	32%	18%	45%	22%	10%	2%	3%
Finland	13%	79%	5%	8%	26%	53%	7%	1%
Sweden	12%	86%	2%	10%	15%	71%	1%	1%

Men often earn more than women because their jobs are more demanding (%)

Country	Total 'Agree'	Total 'Disagree'	Totally agree	Tend to agree	Tend to disagree	Totally disagree	It depends (SPONTANEOUS)	Don't know
European Union (EU27)	40%	56%	13%	27%	29%	27%	2%	2%
Belgium	34%	62%	9%	25%	32%	30%	2%	2%
Bulgaria	58%	37%	25%	33%	25%	12%	1%	4%
Czechia	56%	40%	19%	37%	29%	11%	1%	3%
Denmark	25%	69%	10%	15%	25%	44%	3%	3%
Germany	36%	60%	12%	24%	27%	33%	2%	2%
Estonia	61%	28%	20%	41%	20%	8%	6%	5%
Ireland	44%	50%	12%	32%	28%	22%	2%	4%
Greece	60%	38%	21%	39%	30%	8%	1%	1%
Spain	34%	61%	11%	23%	26%	35%	1%	4%
France	29%	67%	8%	21%	34%	33%	1%	3%
Croatia	53%	45%	16%	37%	30%	15%	1%	1%
Italy	35%	63%	9%	26%	37%	26%	0%	2%
Cyprus	59%	38%	25%	34%	25%	13%	0%	3%
Latvia	53%	41%	23%	30%	30%	11%	3%	3%
Lithuania	57%	39%	18%	39%	27%	12%	1%	3%
Luxembourg	26%	67%	7%	19%	32%	35%	5%	2%
Hungary	71%	26%	26%	45%	20%	6%	2%	1%
Malta	34%	61%	6%	28%	37%	24%	3%	2%
Netherlands	17%	79%	4%	13%	32%	47%	2%	2%
Austria	44%	48%	17%	27%	25%	23%	6%	2%
Poland	66%	31%	20%	46%	21%	10%	2%	1%
Portugal	47%	49%	6%	41%	39%	10%	1%	3%
Romania	61%	36%	26%	35%	26%	10%	0%	3%
Slovenia	46%	52%	15%	31%	30%	22%	1%	1%
Slovakia	73%	23%	25%	48%	16%	7%	2%	2%
Finland	23%	70%	6%	17%	29%	41%	5%	2%
Sweden	14%	84%	3%	11%	19%	65%	1%	1%

Men taking parental leave show a lack of ambition for their career (%)

Country	Total 'Agree'	Total 'Disagree'	Totally agree	Tend to agree	Tend to disagree	Totally disagree	It depends (SPONTANEOUS)	Don't know
European Union (EU27)	19%	77%	5%	14%	31%	46%	1%	3%
Belgium	19%	79%	4%	15%	32%	47%	1%	1%
Bulgaria	33%	58%	11%	22%	30%	28%	2%	7%
Czechia	28%	65%	7%	21%	40%	25%	1%	6%
Denmark	5%	91%	2%	3%	12%	79%	1%	3%
Germany	14%	82%	4%	10%	33%	49%	1%	3%
Estonia	30%	54%	9%	21%	34%	20%	6%	10%
Ireland	13%	83%	3%	10%	28%	55%	0%	4%
Greece	13%	82%	4%	9%	31%	51%	1%	4%
Spain	12%	83%	3%	9%	22%	61%	1%	4%
France	9%	87%	2%	7%	27%	60%	0%	4%
Croatia	29%	69%	8%	21%	38%	31%	1%	1%
Italy	26%	71%	7%	19%	39%	32%	0%	3%
Cyprus	22%	73%	6%	16%	23%	50%	0%	5%
Latvia	18%	67%	6%	12%	36%	31%	2%	13%
Lithuania	27%	64%	9%	18%	33%	31%	2%	7%
Luxembourg	6%	91%	1%	5%	29%	62%	1%	2%
Hungary	39%	55%	11%	28%	30%	25%	3%	3%
Malta	20%	77%	1%	19%	34%	43%	1%	2%
Netherlands	3%	96%	1%	2%	19%	77%	1%	0%
Austria	25%	67%	8%	17%	29%	38%	3%	5%
Poland	38%	59%	11%	27%	37%	22%	2%	1%
Portugal	19%	77%	2%	17%	52%	25%	1%	3%
Romania	31%	64%	6%	25%	41%	23%	1%	4%
Slovenia	13%	85%	4%	9%	31%	54%	1%	1%
Slovakia	41%	53%	12%	29%	30%	23%	2%	4%
Finland	6%	91%	2%	4%	18%	73%	2%	1%
Sweden	4%	95%	1%	3%	5%	90%	0%	1%

Every US State’s Favorite State Besides Their Own

Brilliant Maps — Tue, 10 Mar 2026 15:54:05 +0000

The map above was created by Instagramer Matt Shirley and the data comes from his followers.

If you like this sort of map, you’ll probably like his book A Visual Learner’s Guide to Being a Grown-Up.

Here is the full list:

Alaska: Likes Hawaii
Alabama: Like Florida
Arkansas: Like Texas
Arizona: Like California
California: Likes Hawaii
Colorado: Likes Utah
Connecticut: Likes Massachusetts
Delaware: Likes Virginia
Florida: Likes North Carolina
Georgia: Likes Florida
Hawaii: Likes Nevada (why?)
Iowa: Likes Minnesota
Idaho: Likes Utah
Illinois: Likes Iowa
Indiana: Likes Michigan
Kansas: Likes Colorado
Kentucky: Likes Georgia
Louisiana: Likes Florida
Massachusetts: Likes New Hampshire
Maryland: Likes New York
Maine: Likes New Hampshire
Michigan: Likes Florida
Minnesota: Likes Canada (who doesn’t?)
Missouri: Likes Colorado
Mississippi: Likes Florida
Montana: Likes Idaho
North Carolina: Likes Virginia
North Dakota: Likes Minnesota
Nebraska: Likes Colorado
New Hampshire: Likes Maine
New Jersey: Likes No One (LOL)
New Mexico: Likes Colorado
Nevada: Likes California
New York: Likes Vermont
Ohio: Likes South Carolina
Oklahoma: Likes Texas
Oregon: Likes Washington
Pennsylvania: Likes New York
Rhode Island: Likes New Hampshire
South Carolina: Likes North Carolina
South Dakota: Likes Minnesota
Tennessee: Likes Florida
Texas: Likes Louisiana
Utah: Likes Colorado
Virginia: Likes South Carolina
Vermont: Likes New Hampshire
Washington: Likes Oregon
Wisconsin: Likes Minnesota
West Virginia: Likes North Carolina
Wyoming: Likes Montana

And here’s the same map without the arrows:

A few things I find funny:

West Virginia prefers North Carolina over Virginia
South Carolina like North Carolina who likes Virginia who likes South Carolina
North Dakota and South Dakota both prefer Minnesota over each other.
How few states reciprocally like each other besides Utah and Colorado, Maine and New Hampshire and Oregon and Washington.

Which ones surprises you the most?

European Countries With An Extensive “Right to Roam”

Brilliant Maps — Tue, 10 Mar 2026 13:32:40 +0000

Map created by RealWorldMapsThe map above shows which countries do and don’t have some form of “Right to Roam.”

The Right to Roam is a legal principle that allows the public to access and walk across certain private land or countryside without needing the landowner’s permission, as long as they follow specific rules.

More about it below:

Right to Roam in England & Wales

In England and Wales, the Right to Roam was created by the Countryside and Rights of Way Act 2000 (CRoW Act).

What it allows:

People can walk on designated “open access land”, including:

Mountains
Moors
Heaths
Downland
Registered common land

Activities allowed:

Walking
Sightseeing
Birdwatching
Climbing (in some areas)

What it does NOT allow

The right is limited, meaning you cannot:

Camp without permission
Light fires
Ride bikes or horses
Drive vehicles
Hunt or fish
Bring dogs in restricted seasons (like around livestock)

Most access land is for walking only.

Scotland

In Scotland, the right is much broader under the Land Reform (Scotland) Act 2003.

People can access most land and inland water for:

Walking
Cycling
Horse riding
Wild camping
Canoeing

The rule is that access must be “responsible”, following the Scottish Outdoor Access Code.

Other European Countries

The other green countries on the map (besides Scotland) mostly follow versions of a Nordic-style public access tradition, often called “everyman’s right”, the right for anyone to access nature responsibly even on privately owned land.

Here’s how it works in each of the other green countries:

Norway

Known as “allemannsretten” (everyman’s right).
Allows people to:
- Walk, ski, and cycle on uncultivated land
- Camp in the wild for up to two nights
- Swim and use lakes and rivers
Restrictions:
- Must stay 150 m away from houses
- No damage to crops or farmland.

This is one of the most extensive right-to-roam systems in the world.

Sweden

Called “Allemansrätten.”
Similar to Norway but even more culturally embedded.
People can:
- Hike, cycle, ski
- Camp temporarily
- Pick berries and mushrooms
The guiding principle is “Do not disturb, do not destroy.”

Finland

Known as “Jokamiehenoikeudet.”
Allows:
- Walking, skiing, cycling
- Wild camping
- Fishing with simple gear
- Picking berries and mushrooms
Restrictions mainly protect farmland and private yards.

Denmark

More limited than Norway/Sweden.
Public can:
- Walk in most forests and beaches
- Camp only in designated areas
Access to private forests may be restricted at night.

Iceland

Public access is traditionally very open.
People can:
- Hike across uncultivated land
- Camp temporarily in remote areas
Increasing tourism has led to more restrictions in fragile environments.

Baltic States (Estonia, Latvia, Lithuania)

These countries allow relatively broad public access:

People can generally:
- Walk through forests and countryside
- Forage for mushrooms and berries
Camping may be allowed but often regulated in protected areas.

Their systems were influenced by Nordic traditions and Soviet-era public land access.

Germany

Public access laws allow:
- Walking and cycling in forests and countryside
However:
- You usually must stay on paths or designated routes
- Camping on private land usually requires permission.

Czech Republic

Very open forest access laws.
People may:
- Walk and cycle in forests
- Pick berries and mushrooms
Camping is generally restricted to designated places.

Austria

Public can enter forests for recreation.
However:
- Camping and cycling are more regulated.
- Mountain areas may have freer access depending on the region.

Switzerland

Swiss civil law explicitly guarantees public access to forests and pastures.
Hiking and mountain walking are widely permitted.
Camping is sometimes allowed above the tree line but varies by canton.

What do you think about the Right to Roam?

Countries That Use (Or Have Used) The F-14 Tomcat, Yes The Plane From Top Gun

Brilliant Maps — Thu, 05 Mar 2026 21:07:28 +0000

The map above shows the rather interesting fact that one two countries ever used the F-14 Tomcat Fighter and one of them was Iran.

How Iran acquired the F-14

In the early 1970s, Iran was ruled by Mohammad Reza Pahlavi, who was a close ally of the United States during the Cold War.

Why Iran wanted the aircraft?

Iran needed a fighter that could intercept Soviet reconnaissance aircraft, especially the Mikoyan-Gurevich MiG-25, which could fly extremely fast and high over Iranian territory.

The Shah evaluated two advanced American fighters:

Grumman F-14 Tomcat
McDonnell Douglas F-15 Eagle

Iran ultimately chose the F-14, largely because its powerful radar and long-range missiles were ideal for intercepting high-altitude intruders.

The purchase:

In 1974, Iran ordered:

80 F-14A Tomcats
714 AIM-54 Phoenix long-range missiles

The deal included training, spare parts, and the construction of bases such as Khatami Air Base near Isfahan.

By 1979, 79 aircraft had been delivered before the Iranian Revolution ended US-Iran military cooperation.

The revolution and the aircraft’s survival

In 1979, the Iranian Revolution replaced the Shah with the Islamic Republic.

After the revolution:

US technicians left Iran.
Spare parts and support were cut off.
Many expected the F-14 fleet to become unusable.

However, Iran managed to keep many aircraft flying by:

Cannibalizing parts from other jets
Reverse-engineering components
Buying parts through black markets
Developing domestic upgrades

This engineering effort is one reason the Iranian F-14 story is so famous in aviation circles.

How Iran used the F-14 in war

The Tomcat proved extremely important during the Iran–Iraq War.

Early combat

The first confirmed combat success came in 1980, when an Iranian F-14 shot down an Iraqi helicopter.

Soon afterward the aircraft became the most capable fighter in Iran’s air force.

Air superiority role

Iranian Tomcats were used mainly for:

Long-range interception
Airspace patrol
Protecting oil facilities and cities
Escorting other Iranian aircraft

Because of their powerful radar, they could detect enemy aircraft hundreds of kilometers away.

Combat record

Estimates suggest Iranian F-14s shot down 100-150 Iraqi aircraft during the war.

Targets included:

MiG-21
MiG-23
Sukhoi Su-22

The Tomcat’s presence sometimes scared Iraqi pilots so much that they avoided areas where it was operating.

The F-14 Tomcat itself

Design and capabilities

The F-14 Tomcat was designed in the late 1960s by Grumman as a carrier-based interceptor for the US Navy.

Key features

Variable-sweep wings

The wings could move:
Forward for maneuverability
Back for high-speed flight

Two-person crew

Pilot
Radar Intercept Officer (RIO) controlling radar and missiles

Extremely powerful radar

The AN/AWG-9 radar could track 24 targets at once and engage several simultaneously.

Long-range missile system

Its main weapon was the AIM-54 Phoenix, capable of hitting targets over 160 km away.

Basic specs

Top speed: about Mach 2.3
Range: ~1,600 km combat radius
Engines: twin turbofans
First flight: 1970

The aircraft became famous in pop culture through the movie Top Gun.

Iran’s F-14s today

The United States retired the F-14 in 2006, but Iran kept operating them.

Estimates vary, but roughly:

20–30 aircraft may still exist
Only a portion are fully operational due to maintenance issues

Iran has also developed new missiles like the Fakour-90 to replace older American weapons.

Why the F-14 Was One of the Most Advanced Fighters of the Cold War?

When the Grumman F‑14 Tomcat entered service in 1974, it was one of the most technologically advanced fighters ever built. It was designed primarily to protect aircraft carriers from long-range threats like Soviet bombers and cruise missiles.

Several features made the F-14 revolutionary.

The Radar and Missile System

The heart of the Tomcat was the AN/AWG‑9 radar, paired with the AIM‑54 Phoenix.

This system allowed the aircraft to do something no fighter had previously done:

Track 24 targets simultaneously
Engage up to 6 targets at once
Detect aircraft more than 160 km (100 miles) away

The Phoenix missile was enormous compared with typical air-to-air missiles:

Weight: ~450 kg (1,000 lb)
Range: up to 190 km
Speed: about Mach 5

This meant an F-14 could theoretically shoot down bombers before they even reached the carrier group.

Variable-Sweep Wings

One of the most recognizable features of the Tomcat was its swing-wing design.

At different speeds the wings moved automatically:

Forward position: better maneuverability for dogfighting and takeoff
Swept back: better aerodynamics for high-speed flight

This allowed the aircraft to combine:

Carrier takeoff capability
High-speed interception
Strong maneuverability

Few aircraft used this technology successfully; another famous example was the General Dynamics F‑111 Aardvark.

Two-Crew Combat System

Unlike many fighters, the F-14 had two crew members:

Pilot – flies the aircraft
Radar Intercept Officer (RIO) – controls radar, targeting, and missiles

This allowed the aircraft to manage extremely complex radar systems that were difficult for one pilot to handle alone.

The RIO was essential for managing long-range interceptions.

Speed and Performance

Basic performance specs:

Top speed: about Mach 2.3 (~2,485 km/h)
Service ceiling: ~50,000 ft (15 km)
Engines: two Pratt & Whitney TF30 turbofans
Combat radius: ~900–1,000 km depending on mission

The aircraft was also heavily armed:

Typical weapons included:

AIM‑54 Phoenix
AIM‑7 Sparrow
AIM‑9 Sidewinder
20 mm M61 Vulcan cannon

Why the US Navy Eventually Retired It

Despite its capabilities, the F-14 had major drawbacks.

Very expensive to maintain

The aircraft required extensive maintenance hours per flight hour.

Later in its life:

1 flight hour could require 30–60 maintenance hours

Engine problems

Early models had unreliable TF30 engines, which could stall during aggressive maneuvers.

Cold War mission ended

The Tomcat was designed mainly to stop Soviet bomber attacks on carriers.

After the collapse of the Soviet Union in 1991, that threat largely disappeared.

Newer aircraft replaced it

The US Navy gradually replaced the Tomcat with the more versatile:

Boeing F/A‑18E/F Super Hornet

The Super Hornet is:

cheaper to maintain
easier to operate
capable of many mission types

The US Navy officially retired the F-14 in 2006.

Why the F-14 Became Iconic

Beyond its military role, the Tomcat became famous in popular culture through the movie Top Gun, starring Tom Cruise.

The film turned the aircraft into one of the most recognizable fighters in the world.

Where Europe’s Fruit Comes From At Different Times Of The Year

Brilliant Maps — Fri, 27 Feb 2026 17:10:22 +0000

https://brilliantmaps.com/wp-content/uploads/eu-fruit-slow.mp4

The video above was created by Yannick Brouwer and shows where the largest supplier for different types of fruits to the EU comes from each month during the year.

Here’s what he had so say about the map:

When buying fruit and vegetables at your local supermarket, you might notice that the country of origin sometimes changes. I wanted to show how a network of farmers, traders and logistics companies from different countries provide all-year fruit.

Every product that is traded between countries is categorized using the Harmonized System. This HS code is for example used by customs to identify products and to determine import duties, but it’s also useful for trade statistics.

Statistical organizations like
@EU_Eurostat and http://trademap.org provide a lot of trade data for free. I used Trade Map and data from 2021. BTW, till the end of the year European citizens have access to monthly trade data.

For the visualization I wanted to get a bit experimental, it’s definitely not the most digestible map but I like how you can follow the individual emoji’s to explore patterns.

The basemap is based on Mapbox ‘Frank’, designed by @ClareMTrainor. I used Figma to colorize the map, paste the in the right country and add the annotations.

What do you think?

Where 19 Different Types of Berries Native to North America Grow

Brilliant Maps — Fri, 27 Feb 2026 16:39:44 +0000

The video above was created by quite adept shows where 19 Different Types of Berries Native to North America Grow.

It’s part of a much longer video you can watch below:

From the original reddit post:

This gif is a simplified version of a much longer, slightly absurd berry video I made with the same data.

This is not where all berries in North America can be found.

It is just the native range of native plant species that produce fruity things that we call berries.

Some of these berries aren’t technically berries.

It also excludes varieties that are extinct in the wild, and species of plant that are not berry common or not researched enough to have readily available geospatial data.

The nineteen berries in this gif cover more than 115 species and subspecies of berry-producing plants in North America. From my research there are about 300 species of “berries” that are native to North America and are not extinct in the wild.

DATA

These are original distribution maps that combine data for multiple species and/or subspecies into individual maps for each “type” of berry.

They were created in Affinity Designer.

The two main sources used for these distribution maps are (1) Elbert L. Little Jr.’s many volumes of “Atlas of United States Trees” for the U.S. Department of Agriculture and (2) the North American Plant Atlas (NAPA) from Biota of North America Project (BONAP) which can be found at bonap.net – example.

The Little maps are from the 70s, the BONAP maps are accurate as of 2014.

These maps are accurate for the contiguous United States to at least the county level, Canada/Mexico/Alaska to at least the province/state level, and all other countries to at least the country level.

Not all of the berries in this gif are true berries, botanically speaking.

Further data source information can be found at the end of the full video. I superimposed the source maps on top of each other and onto a blank map and traced county by county to make each map, then I layered all nineteen maps on top of each other with transparency to show the rough diversity/density of berry species.

And finally how about this map by reddit user souppoder titled A Very Berry Map: North American Places Named After Different Types of Berries:

Which one is your favourite?

Most Congressional Seats Ever Won By The Republicans vs The Most Won By The Democrats

Brilliant Maps — Thu, 26 Feb 2026 21:57:43 +0000

The map above shows the congressional election where the most Republicans won seats (1920) and the where the Democrats won the most seats (just 16 years later in 1936).

In 1920, the Republicans won 302 seats compared to just 131 for the Democrats. But in 1936 the Democrats surpassed the Republican high-water mark winning 334 seats to just 88 for the Republicans (Progressives also 7 seats and 3 went to Farmer–Labor).

Here are the totals for all states for both years:

1920

State	Democratic 1920	Republican 1920	Others 1920	Total Seats 1920
Alabama	10	0	0	10
Arizona	1	0	0	1
Arkansas	7	0	0	7
California	2	9	0	11
Colorado	1	3	0	4
Connecticut	0	5	0	5
Delaware	0	1	0	1
Florida	4	0	0	4
Georgia	12	0	0	12
Idaho	0	2	0	2
Illinois	3	24	0	27
Indiana	0	13	0	13
Iowa	0	11	0	11
Kansas	0	8	0	8
Kentucky	8	3	0	11
Louisiana	8	0	0	8
Maine	0	4	0	4
Maryland	2	4	0	6
Massachusetts	2	14	0	16
Michigan	0	13	0	13
Minnesota	0	10	0	10
Mississippi	8	0	0	8
Missouri	2	14	0	16
Montana	0	2	0	2
Nebraska	0	6	0	6
Nevada	0	1	0	1
New Hampshire	0	2	0	2
New Jersey	1	11	0	12
New Mexico	0	1	0	1
New York	9	33	1	43
North Carolina	10	0	0	10
North Dakota	0	3	0	3
Ohio	0	22	0	22
Oklahoma	3	5	0	8
Oregon	0	3	0	3
Pennsylvania	1	35	0	36
Rhode Island	0	3	0	3
South Carolina	7	0	0	7
South Dakota	0	3	0	3
Tennessee	5	5	0	10
Texas	17	1	0	18
Utah	0	2	0	2
Vermont	0	2	0	2
Virginia	9	1	0	10
Washington	0	5	0	5
West Virginia	0	6	0	6
Wisconsin	0	11	0	11
Wyoming	0	1	0	1
Total	132	302	1	435

1936

State	Democratic 1936	Republican 1936	Other 1936	Total Seats 1936
Alabama	9	0	0	9
Arizona	1	0	0	1
Arkansas	7	0	0	7
California	15	4	1 (Prog)	20
Colorado	4	0	0	4
Connecticut	6	0	0	6
Delaware	1	0	0	1
Florida	5	0	0	5
Georgia	10	0	0	10
Idaho	2	0	0	2
Illinois	21	6	0	27
Indiana	11	1	0	12
Iowa	5	4	0	9
Kansas	2	5	0	7
Kentucky	8	1	0	9
Louisiana	8	0	0	8
Maine	0	3	0	3
Maryland	6	0	0	6
Massachusetts	5	10	0	15
Michigan	8	9	0	17
Minnesota	1	3	5 (F-L)	9
Mississippi	7	0	0	7
Missouri	12	1	0	13
Montana	2	0	0	2
Nebraska	4	1	0	5
Nevada	1	0	0	1
New Hampshire	1	1	0	2
New Jersey	7	7	0	14
New Mexico	1	0	0	1
New York	29	16	0	45
North Carolina	11	0	0	11
North Dakota	0	2	0	2
Ohio	22	2	0	24
Oklahoma	9	0	0	9
Oregon	2	1	0	3
Pennsylvania	27	7	0	34
Rhode Island	2	0	0	2
South Carolina	6	0	0	6
South Dakota	1	1	0	2
Tennessee	7	2	0	9
Texas	21	0	0	21
Utah	2	0	0	2
Vermont	0	1	0	1
Virginia	9	0	0	9
Washington	6	0	0	6
West Virginia	6	0	0	6
Wisconsin	3	0	7 (Prog)	10
Wyoming	1	0	0	1
TOTALS	334	88	13	435

Which one suspires you the most?

Where Permanent Residents Of Canada Came From Between 2015 & 2025

Brilliant Maps — Thu, 26 Feb 2026 11:00:31 +0000

Map created by reddit user Racsom_

The map above shows the number Admissions of Permanent Residents by Country of Citizenship to Canada between 2015 and 2025. Data comes from the Immigration, Refugees and Citizenship Canada (IRCC) monthly updates.

Here’s the full total for each country below (my numbers are full year to the end of 2025 which is why India is slightly higher):

Country of Citizenship	Total
Afghanistan	90,855
Albania	6,100
Algeria	48,285
Andorra	-
Angola	1,275
Antigua and Barbuda	905
Argentina	3,625
Armenia	2,270
Australia	16,865
Austria	1,075
Azerbaijan	2,665
Azores	-
Bahama Islands, The	2,475
Bahrain	310
Bangladesh	37,725
Barbados	2,185
Belarus	2,535
Belgium	5,280
Belize	690
Benin, Republic of	5,300
Bermuda	-
Bhutan	805
Bolivia	1,400
Bosnia-Herzegovina	1,105
Botswana, Republic of	560
Brazil	56,230
Brunei	45
Bulgaria	2,095
Burkina-Faso	3,990
Burundi	12,230
Cambodia	2,065
Cameroon, Federal Republic of	77,875
Cape Verde Islands	25
Central African Republic	3,480
Chad, Republic of	2,110
Chile	5,760
China, People's Republic of	298,715
Colombia	40,760
Comoros	140
Congo, Democratic Republic of the	31,095
Congo, People's Republic of the	2,280
Costa Rica	1,955
Croatia	3,655
Cuba	9,005
Curacao	-
Cyprus	175
Czech Republic	2,985
Denmark	850
Djibouti, Republic of	2,700
Dominica	430
Dominican Republic	7,810
East Timor, Democratic Republic of	-
Ecuador	4,535
Egypt	31,980
El Salvador	7,025
Equatorial Guinea, Republic of	25
Eritrea	79,585
Estonia	345
Ethiopia	28,115
Fiji	1,415
Finland	995
France	93,430
French Polynesia	-
Gabon Republic	810
Gambia	785
Georgia	1,970
Germany	12,330
Ghana	11,350
Greece	3,790
Grenada	1,030
Guadeloupe	-
Guatemala	2,755
Guinea, Republic of	4,735
Guinea-Bissau	40
Guyana	4,600
Haiti	33,370
Holy See	-
Honduras	4,195
Hong Kong SAR	25,050
Hungary	6,175
Iceland	230
India	941,220
Indonesia, Republic of	5,185
Iran	89,905
Iraq	34,920
Ireland, Republic of	17,065
Israel	14,740
Italy	11,795
Ivory Coast, Republic of	22,180
Jamaica	40,015
Japan	10,730
Jordan	10,860
Kazakhstan	4,205
Kenya	7,780
Kiribati	-
Korea, People's Democratic Republic of	80
Korea, Republic of	51,970
Kosovo, Republic of	1,785
Kuwait	300
Kyrgyzstan	1,355
Laos	205
Latvia	905
Lebanon	27,170
Lesotho	45
Liberia	985
Libya	5,160
Liechtenstein	-
Lithuania	1,175
Luxembourg	115
Macau SAR	255
Macedonia	1,010
Madagascar	3,145
Malawi	330
Malaysia	3,780
Maldives, Republic of	20
Mali, Republic of	3,525
Malta	90
Marshall Islands, Republic of the	-
Mauritania	965
Mauritius	9,975
Mexico	46,875
Micronesia, Federated States of	-
Moldova	4,440
Monaco	-
Mongolia, People's Republic of	1,060
Montenegro, Republic of	195
Morocco	46,170
Mozambique	95
Myanmar (Burma)	2,635
Namibia	915
Nauru	-
Nepal	14,995
Netherlands Antilles, The	-
Netherlands, The	4,945
Nevis	-
New Caledonia	-
New Zealand	4,960
Nicaragua	2,125
Niger, Republic of the	915
Nigeria	135,755
Northern Mariana Islands, Commonwealth of the	-
Norway	720
Oman	105
Other	175
Pakistan	109,605
Palau, Republic of	-
Palestinian Authority (Gaza/West Bank)	6,335
Panama, Republic of	740
Papua New Guinea	25
Paraguay	575
Peru	6,735
Philippines	332,055
Poland	7,620
Portugal	8,660
Puerto Rico	-
Qatar	10
Reunion	-
Romania	7,560
Russia	20,935
Rwanda	7,470
Samoa, American	-
Samoa, Independent State of	5
San Marino	-
Sao Tome and Principe	-
Saudi Arabia	2,620
Senegal	8,145
Serbia, Republic of	4,150
Seychelles	30
Sierra Leone	775
Singapore	2,870
Sint-Maarten	-
Slovak Republic	2,590
Slovenia	355
Solomon Islands	45
Somalia, Democratic Republic of	31,130
South Africa, Republic of	16,435
South Sudan, Republic of	2,880
Spain	7,010
Sri Lanka	25,350
St. Kitts-Nevis	375
St. Lucia	2,750
St. Vincent and the Grenadines	3,285
Stateless	12,745
Sudan, Democratic Republic of	15,990
Surinam	100
Swaziland	215
Sweden	2,165
Switzerland	2,360
Syria	119,460
Taiwan	10,155
Tajikistan	480
Tanzania, United Republic of	2,310
Thailand	5,155
Togo, Republic of	5,510
Tonga	5
Trinidad and Tobago, Republic of	4,835
Tunisia	31,105
Turkey	23,390
Turkmenistan	225
Turks and Caicos Islands	-
Tuvalu	-
Uganda	5,170
Ukraine	41,825
United Arab Emirates	160
United Kingdom and Overseas Territories	54,700
United States of America	103,195
Uruguay	550
Uzbekistan	1,725
Vanuatu	-
Venezuela	17,175
Vietnam	45,985
Virgin Islands, British	-
Western Sahara	-
Yemen	6,600
Zambia	830
Zimbabwe	5,270
Country not stated	-
Total	3,894,285

And here’s a map and table showing the distribution by province:

Province/Territory	Total	% of 2015 Population
Newfoundland and Labrador	29,635	5.61%
Prince Edward Island	26,825	18.37%
Nova Scotia	87,625	9.29%
New Brunswick	77,890	8.26%
Quebec	562,915	6.78%
Ontario	1,665,775	12.07%
Manitoba	195,875	15.07%
Saskatchewan	175,910	15.99%
Alberta	511,810	12.19%
British Columbia	551,135	11.73%
Yukon	5,170	13.97%
Northwest Territories	2,955	6.72%
Nunavut	480	1.30%
Total	3,894,285	10.85%

Which surprised you the most?

Places Yet To Be Settled By Humans In 1200 AD

Brilliant Maps — Wed, 25 Feb 2026 11:44:59 +0000

I created the map above, because I still can’t really believe that New Zeeland escaped any human habitation until sometime between 1280 and 1350 AD!

Given it’s size it’s almost impossible to believe.

Its South Island (Te Waipounamu) is 145,836 km2, making it the 12th largest island in the world (larger than Java) and the North Island (Te Ika-a-Māui) is 111,583 km2, making it the 14th largest island in the world= (larger than Newfoundland, Cuba, Iceland or Ireland!)

And they remained uninhabited up until around the time of the Hundred Years War, while Australia was settled 50,000 to 65,000 years ago!

Below is a list from Wikipedia of places settled by people after 1200AD:

Region	Country / island	Date	Place	Notes
Pacific	New Zealand	1250	Wairau Bar	It is generally accepted that the islands were permanently settled by Eastern Polynesians (the ancestors of the Māori) who arrived about 1250–1300.
Pacific	Norfolk Island	1250	Emily Bay	Settled by Polynesians, later abandoned. Resettled by British 1788.
Pacific	Auckland Islands	1250	Sandy Bay, Enderby Island	Settled by Polynesians, later abandoned. Resettled from the Chatham Islands in 1842, later abandoned.
Pacific	Kermadec Islands	1350		Settled by Polynesians by the 14th century (possibly previously, around the 10th century), later abandoned. Resettled by Europeans in 1810, later abandoned.
Atlantic / North Africa	Madeira	1420		Settlers from Portugal.
Atlantic	Azores	1439	Santa Maria Island	Settlers from Portugal led by Gonçalo Velho Cabral.
Atlantic / West Africa	Cape Verde	1462	Cidade Velha	Settlers from Portugal founded the city as "Ribeira Grande."
Atlantic / Central Africa	São Tomé and Príncipe	1485	São Tomé	Portuguese settlement in 1485 failed but was followed in 1493 by a successful settlement led by Álvaro Caminha.
Pacific Ocean	Chatham Islands	1500		Moriori settlers from New Zealand. This was the last wave of Polynesian migrations.
South Atlantic	Saint Helena	1516		Settled by Fernão Lopes (soldier). Later populated by escaped slaves from Mozambique and Java, then by English in 1659.
South Atlantic / Central Africa	Annobón	1543		Alvaro da Cunha requested Portuguese royal charter in 1543 and by 1559 had settled Africans slaves there.
North Atlantic	Bermuda	1609		Settled by English survivors of the Sea Venture shipwreck, led by George Somers.
Arctic, Northern Europe	Svalbard	1619	Smeerenburg	Settled by Dutch and Danish whalers 1619–1657. Longyearbyen founded 1906 and continuously inhabited except for World War II.
Indian Ocean	Mauritius	1638	Vieux Grand Port	First settled by Dutch under Cornelius Gooyer.
Indian Ocean	Réunion	1642		Settled 1642 by a dozen deported French mutineers from Madagascar, who were returned to France several years later. In 1665 the French East India Company started a permanent settlement.
Americas, Caribbean	Cayman Islands	1658		While Christopher Columbus was first to sight the Cayman Islands on May 10, 1503, Caymanian folklore holds that the island's first inhabitants were English soldiers involved in Oliver Cromwell's capture of Jamaica around 1658. The first recorded permanent inhabitant was Isaac Bodden, the grandson of one of these first settlers, born on Grand Cayman around 1661.
Indian Ocean	Rodrigues	1691		Settled 1691 by a small group of French Huguenots led by François Leguat; abandoned 1693. The French settled slaves there in the 18th century.
East Pacific	Clipperton Island	1725		A short settlement in 1725. Intermittent settlement during the 19th and 20th centuries.
East Pacific	Juan Fernández Islands	1750	San Juan Bautista	Settled by the Spanish to prevent its use by foreign powers and pirates. Destroyed in 1751 by a tsunami but soon rebuilt.
South Atlantic	Falkland Islands	1764	Port Louis	Settled by French (as "Port Saint Louis") during the expedition of Louis Antoine de Bougainville.
Indian Ocean	Seychelles	1770	Ste. Anne Island	Although visited earlier by Maldivians, Malays and Arabs, the first known settlement was a spice plantation established by the French, first on Ste. Anne Island, then moved to Mahé. It is the sovereign state with the shortest history of human settlement (followed by Mauritius).
East Pacific	Floreana Island	1805	Black Beach	First settled 1805–1809 by Patrick Watkins. Later attempts in 1837, 1893, 1925, and 1929.
South Atlantic	Tristan da Cunha	1810		First settled by Jonathan Lambert and two other men. Continuously inhabited since then except 1961–1963 evacuation due to volcano.
South Atlantic	Ascension Island	1815		Settled as a British military garrison. Some prior shipwrecked sailors in 18th century.
Pacific Ocean, Bering Sea	Commander Islands	1825		Russians brought Aleuts from Atka Island and Attu Island to settle Bering Island and Medny Island.
Indian Ocean	Cocos (Keeling) Islands	1826		Settled c. 1826 by Alexander Hare and in 1827 by John Clunies-Ross.
Pacific Ocean	Bonin Islands	1830	Port Lloyd, Chichi-jima	Some evidence of early settlement from the Marianas, but the islands were abandoned except for occasional shipwrecks until a group of Europeans, Polynesians, and Micronesians settled Chichi-jima in 1830.
Pacific Ocean, Tasman Sea	Lord Howe Island	1834	Blinky Beach	Whaling supply station.
Indian Ocean	Île Saint-Paul	1843		Although now uninhabited, there have been attempts at settlement. In June 1843, a French garrison was established under the command of Polish-born Captain Adam Mierolawski, but it was soon abandoned. In 1928, a spiny lobster cannery was established, with the last three settlers rescued in 1934.
Arctic, Northern Europe	Novaya Zemlya	1870	Malye Karmakuly	Earlier overwinterings dating back to 16th century
Indian Ocean	Île Amsterdam	1871	Camp Heurtin	Following various shipwrecks and visits by sealers and scientists in the 18th and 19th century, a short-lived settlement was made in 1871 by Heurtin, a French resident of Réunion Island. A French scientific base has been maintained since 1949.
Pacific Ocean	Minami-Tori-shima	1886		Despite visits dating back to the 17th century, the first permanent settlement was in 1886.
Indian Ocean	Christmas Island	1888	Flying Fish Cove	First European settlement established by George Clunies-Ross and John Murray with phosphate mining begun around 10 years later.
Pacific Ocean	Campbell Island	1896		Sheep farming was undertaken from 1896 until the lease, along with the sheep and a small herd of cattle, was abandoned in 1931 because of the Great Depression.
Pacific Ocean, Philippine Sea	Daitō Islands	1900	Minamidaitōjima	Tamaki Hanemon [ja] obtained the approval to develop two of islands from Empire of Japan
Antarctic	South Orkney Islands	1903	Omond House	Visited by sealers and whalers in the 19th century. Scientific base founded by Scottish National Antarctic Expedition and sold to Argentina in 1904.
South Atlantic	South Georgia	1904	Grytviken	Visited by sealers in the 19th century. Carl Anton Larsen founded a permanent whaling station in 1904.
Arctic, Northern Europe	Jan Mayen	1921	Eggøya	Visited by whalers in the 17th century, with some overwinter sojourns in 1633, 1882, and 1907. Weather station at Eggøya established 1921, followed by other weather and military stations. The current station, Olonkinbyen, has been continuously inhabited since 1958.
Indian Ocean	Kerguelen Islands	1927	Port-Couvreux	After occasional sojourns and shipwrecks in the 19th century, three families settled in a sheep-farming colony but were evacuated in 1934. Scientific station at Port-aux-Français has been continuously inhabited since 1950.
Arctic, New Siberian Islands	Kotelny Island	1933		Soviet Naval Base.
Antarctic	South Shetland Islands	1947	Captain Arturo Prat Base	Visited by sealers and explorers in the 19th century. Chilean naval base staffed continuously 1947–2004.
Indian Ocean	Prince Edward Islands	1947	Transvaal Cove	Visited by sealers and shipwrecks in the 19th century. South Africa occupied the islands in 1947 and established a meteorological station.
Antarctica		1948	Base General Bernardo O'Higgins Riquelme, Antarctic Peninsula	First permanent base in continental Antarctica, operated by the Chilean Army.
Pacific Ocean	Macquarie Island	1948	Macquarie Island Station	Occasional sojourns and shipwrecks in the 19th century, continuously inhabited since 1948.
East Pacific	Revillagigedo Islands	1957	Socorro Island	Mexican naval base established. Shorter stays in 19th and early 20th centuries
Indian Ocean	Crozet Islands	1963	Alfred Faure	Occasional shipwrecks and visiting sealers and whalers in the 19th century, continuously inhabited since 1963.
Arctic, Siberia	Severnaya Zemlya	1974	Cape Baranov	A meteorological station was operated from 1974 to 1988. "Prima" Polar Station opened at some point in the 1980s.
North Atlantic / British Isles	Rockall	1985		Former SAS member Tom McClean lived on the island from 26 May to 4 July 1985 to affirm the UK's claim to the islet. Other short stays have been made, including one by Greenpeace and a 60-day fundraising effort for Help for Heroes

Also see: Human Expansion Timeline Map (With Estimated Total Human Population) In Just 60 Seconds

Which one surprises you the most?

What Places Will Trump Mention During The State of the Union Address?

Brilliant Maps — Tue, 24 Feb 2026 13:55:24 +0000

The map above looks at the Odds Trump will mention a country or US State in his State of The Union Address. The data comes from prediction market sites Polymarket and Kalshi.

Here’s the full list of locations with the odds as of Feb 23rd (odds may have since changed):

Location	Polymarket (%)	Kalshi (%)	Difference
China	97%	97%	--
Venezuela	93%	95%	2%
Iran	95%	94%	-1%
Russia	88%	88%	--
Ukraine	87%	86%	-1%
Mexico	86%	85%	-1%
Canada	81%	80%	-1%
India	71%	70%	-1%
New York	69%	67%	-2%
Japan	66%	68%	2%
California	66%	64%	-2%
Minnesota / Minneapolis	64%	64%	--
Greenland	62%	63%	1%
Congo	56%	56%	--
Chicago	52%	53%	1%
Gulf of America	51%	55%	4%
Cuba	51%	53%	2%
Taiwan	46%	45%	-1%
Memphis	44%	41%	-3%
Somalia	36%	38%	2%
Arizona	35%	35%	--
Colombia	26%	28%	2%
Mount McKinley	27%	26%	-1%
El Salvador	19%	21%	2%
Portland	18%	17%	-1%
Europe / European	88%	-	-
Washington DC / DC	80%	-	-
White House	59%	-	-
Afghanistan	55%	-	-
Los Angeles	52%	-	-
Texas	51%	-	-
Pennsylvania	50%	-	-
New Orleans	48%	-	-
Western Hemisphere	43%	-	-
Georgia	42%	-	-
Norway	40%	-	-
North Carolina	38%	-	-
Michigan	37%	-	-
Switzerland	31%	-	-
South America / Latin America	31%	-	-
Nigeria	29%	-	-
Syria	25%	-	-
Ethiopia	19%	-	-
Israel	-	83%	-
Gaza	-	76%	-
Korea	-	60%	-
Saudi Arabia	-	53%	-
Alaska	-	48%	-
Panama	46%	-	-
Florida	-	34%	-
Kennedy Center	-	34%	-
Detroit	-	32%	-
Argentina	-	23%	-
Palestine	-	14%	-
Iceland	-	8%	-
Little Saint James (aka Epstein Island)	-	3%	-

Here are some of my thoughts below: