Sorry it was one extra opening parentheses. The syntax coloring should show you the first one is pink in that long sequence of opening parentheses.

Doing it the more general way will make it easier to see if things are right. Define your list of countries e.g. as above use the variable name countrylist. Get the list of populations as above. Then make the list of country language fractions in a similar manner.

languagefractions=Map[Function[country,CountryData[country, "LanguagesFractions"], countrylist]

Then get the languages

languages=Apply[Union, languagefractions[[All,All,1]]];

Then get the number of language users in each country

users[population_, fractions_, language_]:= population*(language/.Append[fractions,_->0])

You could use Map or MapThread with Total, but maybe simpler to use Sum.

Map[Function[lang,lang->Sum[users[populations[[i]], languagefractions[[i]], lang], {i, 1, Length[countrylist]}]/Total[populations]],
languages]

Hi Bruce

I think this is a Mathematica problem so I sent it to support@wolfram.com , I'm sure they'll pass it on if I've gone to the wrong place.

Cheers

John

Thanks very much Todd, I've emailed support

Cheers

John

Hi Todd

Can I check that I have inputted this correctly? I had assumed one of the outputs was giving me a percentage of the total population who were speakers of each language but Wolfram Alpha tells me that only 60% of people in Angola speak Portuguese, Anguilla should barely effect this number of the total because it only has 15,000 inhabitants, none of which speak Portuguese.

https://www.wolframcloud.com/objects/68ba4fa3-0b9d-42bb-9916-6333910724ec

Could you explain what I'm seeing from the two outputs?

I'm sorry to keep asking questions

Thanks very much for your help

John

For reference the set of countries are:

Angola, Anguilla, Antigua, Bangladesh, Botswana, British Virgin Islands, Burundi, Cameroon, Cayman Islands, Democratic Republic of Congo, East Timor, El Salvador, Ghana, Haiti, India, Indonesia, Ivory Coast, Jamaica, Jordan, Kazakhstan, Kenya, Kosovo, Kyrgyzstan, Madagascar, Malaysia, Mongolia, Montenegro, Morocco, Myanmar, Nepal, Niger, Nigeria, Pakistan, Panama, Philippines, Russia, Rwanda, Saudi Arabia, South Africa, Sri Lanka, St Kitts, Suriname, Tajikistan, Thailand, Tobago, Trinidad, Tunisia, Turks and Caicos Islands, Uganda and Ukraine

May be this will help

entity-based-geocomputation/display-the-worlds-most-common-languages-by-countr.html