# data[].attributes.body
Thinking Australia?
Christine

# data[].attributes.body
Canada
Christine

# data[].attributes.body
Not Sure
Christine

# data[].attributes.body
Italy
Christine

# data[].attributes.body
Thailand
Jackie

# data[].attributes.body
China
Jackie

# data[].attributes.body
B
America
Jackie

# data[].attributes.body
A
France
Jackie

# data[].attributes.body
Initial thought France
However on reflection maybe an island?
...No - Middle East.

(Kirstie)

# data[].attributes.body
Initial thought Amazon rainforest?! Norway possibly.
(Kirstie)

# data[].attributes.body
Initial thought - Canada however on reflection I think it may be Eastern European or Southern Europe?
(Kirstie)

# data[].attributes.body
Scotland - Initial thought
however large population? Maybe Russia?
(Kirstie)

# data[].attributes.body
France?
(Jill)

# data[].attributes.body
Canada?
(Jill)

# data[].attributes.body
USA
(Jill)

# data[].attributes.body
No idea
(Jill)

# data[].attributes.body
I'm really struggling now because I could think of many different counties I would pick.  The colour of uniforms for C is letting me down as it makes me think there is a more specific answer.
Linsey

# data[].attributes.body
This could be many different countries from the UK to other European countries and beyond.  The big roads suggests a large transport infrastructure.
Linsey

# data[].attributes.body
Sorry, struggling to answer this one, especially with the 2nd and 3rd statements.
Linsey

# data[].attributes.headline
I am a bit stuck on A and D and it is now taking over two minutes so I am going to stop! 

# data[].attributes.subject
I am a bit stuck on A and D and it is now taking over two minutes so I am going to stop! 

# data[].attributes.body
(Sara)

# data[].attributes.headline
I am a bit stuck on A and D and it is now taking over two minutes so I am going to stop! 

# data[].attributes.subject
I am a bit stuck on A and D and it is now taking over two minutes so I am going to stop! 

# data[].attributes.headline
I am a bit stuck on A and D and it is now taking over two minutes so I am going to stop! 

# data[].attributes.subject
I am a bit stuck on A and D and it is now taking over two minutes so I am going to stop! 

# data[].attributes.body
(Sara_)

# data[].attributes.body
Thailand
(Sara)

# data[].attributes.body
China
(Sara)

# data[].attributes.body
I associate this with China, although not the climate.
(Carrie

# data[].attributes.body
USA also

# data[].attributes.body
The red and black uniform makes me think of Canada.  I think I may have completed this activity before and was really surprised.
(Carrie

# data[].attributes.body
The first bullet point makes you automatically assume France although the others do not apply.
(Carrie

# data[].attributes.body
Spain?
(Lesley)

# data[].attributes.body
Slovakia?
(Lesley)

# data[].attributes.body
USA?
(Lesley)

# data[].attributes.body
really struggling, no idea!
(Lesley)

# data[].attributes.body
I can't work out which countries these statements apply to.

# data[].attributes.body
I'm not sure as there are many countries that come to mind and some statements that don't make me think of any countries.

# data[].attributes.headline
This is difficult as I can think of countries that apply to some statements but not to all! 

# data[].attributes.subject
This is difficult as I can think of countries that apply to some statements but not to all! 

# data[].attributes.body
Carys

# data[].attributes.headline
I'm finding this tricky, I can think of countries then with one element of the statements I talk myself out of the answer. 

# data[].attributes.subject
I'm finding this tricky, I can think of countries then with one element of the statements I talk myself out of the answer. 

# data[].attributes.body
Lynsey

# data[].attributes.body
Once you have had a stab at the activity, click to view the answers.

# data[].attributes.body
Look at the statements below. Which countries do you think they belong to? Write your answers below each country (double-click to create a post). This should take no more than 2 minutes.

# data[].attributes.body
There are lots of old things

They have a nice climate

There are many shops

It has a large population

They speak a beautiful languauge

# data[].attributes.body
Their policemen wear red and black uniforms

They live in flats

There are many factories

There are lots of churches and hospitals

# data[].attributes.body
There are big forests

They have large roads

They have beautiful coins

The have tall mountains

# data[].attributes.body
They eat frogs and snakes

There are no pickpockets

There are no black people

Guns come from here