# data[].attributes.body
Pink- Relating to the stage of Guyana
Blue-Stats and info
Purple- Relating to the graphs
White: Goals and map

# data[].attributes.body
Stage 2: when you have a high birth rate but much lower death rate.
Stage 3: when birth rate drops and death rate is still low. (moderate pop. growth)

# data[].attributes.body
Religious Data;
48.2% Christian
28.4% Hindu
8% Roman Catholic
7.2% Muslim
1.1% Jehovah's Witness
.5% Rastafarian
4.3% non religious
2.3% Unknown/other

# data[].attributes.body
Ethnic Data;
43.5% East-Indian
30.2% Black African
16.7% multiracial
9.1% Amerindian
.5% Other mostly Chinese and White

# data[].attributes.body
To put it simply, the war for independence derailed what ever development they were making. In the late 1990's they started developing again which is what led to the huge increase of people in the  infograph of anyone younger than 30. Then the bump occurred again which is due to them developing into stage 3, although the aren't quite there.

# data[].attributes.body
Population is about 740.7 thousand.

# data[].attributes.body
The goal for Guyana is to transition into a Stage 3 country and eventually a Stage 4 country. Here is an example of what the end goal for Guyanas' development should be the same length throughout most ages ( like a rectangle almost). An example is the U.S map.

# data[].attributes.body
Before we explain the bumps/indents we must know what they mean. The bumps are the lack or abundance of the people in the age ranges. This can be caused by factors such as: immigration, fertility, war, economy, and morality. But for Guyana specifically, it is caused by the economy and war. Because Guyana had just earned their independence, their economy wasn't doing spectacular and many people (men) had died. However they had just won the war so everyone was happy and there was a huge baby boom. The indentations were due to women marrying and having children at later times because it was customary and also due to the fact that women started using contraceptives.

# data[].attributes.body
Because of the bumps and indents on the graph we can infer that something happened to the population that made it so there was a tremendous decrease in the population of age 30-40

# data[].attributes.body
Guyana is a stage 2 country because while the birth rate seems to be higher the death rate seems lower then some less developed countries.