PPFN aims to educatewomen, offer familyplanning, provide contraception all for free in communities that need it the most
16% of married women use modern contraception
23% of women between 15 and 19 become pregnant
Social factors affecting fertility levels:
tradition
education
age structure
religion
status of women
Political factors affecting fertility levels:
government policy
Economic factors affecting fertility levels:
economic factors
death rate
sanitation
healthcare
Social mortality factor:
ageing population - countries with an ageing population have a high death rate
HIV/AIDS - massive impact on sub-saharan countries
non-communicable disease - lifestyle factors such as exercise, processed food, alcohol, and tobacco lead to cardiovascular diseases
Economic mortality factor:
poverty - exacerbates other factors
infant mortality - children are most vulnerable to disease, especially with poor healthcare and dirtywater
medical infrastructure - people have to use traditional remedies if there isn't easy access to medical facilities
economic development - increase in wealth leads to better sanitation, diet and education which reducesdisease
injury-related - murder and war, car accidents, industrial injuries in countries with little health and safety
Death rates in HICs are high because they have an ageing population, even though they have good access to food and healthcare. Australia and the USA have the lowest death rates in the developed world due to immigration canceling out the ageing population.
Death rates are high in formercommunist countries due to the high levels of alcohol consumption.
NICs have an increasingGDP/person and a young population so there aren't as many deaths caused by disease or old age.
Oil rich countries such as Venezuela have good healthcare, water, nutrition, and sewage, as well as a young population so death rates are low.
LICs have a lowGDP/person so they have poor nutrition, water access, sewage and healthcare which leads to high infant mortality rates and high death rates.
birth rate - number of babies born per 1000 people, per year
death rate - number of deaths per 1000 people, per year
fertility rate - average number of children each women in a population will have during their lifetime
naturalchange = birth rate - death rate
Kerala has changing fertility rates. Kerala's population growth rate has slowed massively, due to the government prioritising the needs of the people, with a focus on youngwomen.
Kerala Statistics:
life expectancy is 75
infant mortality is 6 (2019)
female literacy rate is 85
use of contraceptives is 64
fertility rate is 1.8
Reasons for Kerala's changing fertility rates:
women receive money when marrying instead of paying the dowry, so they are seen as a benefit to the family
women can own land
women can get a good education so they pursue careers
educated women marry later and have fewer kids
good healthcare reduces infant mortality rates
Effects of Kerala's changing fertility rates:
population may stop growing in 20 years
ageing population that requires care, so taxes increase
healthcare system is already struggling
Features of population structure diagrams:
age groups are split into 5 year blocks on the y axis
percentage of sex on the x axis
show change over time
gives birth rate, death rate, infant mortality rate, and life expectancy
bulges and dips are connected to key events
divides into young dependents, economically active and elderly dependents
used to plan tax money distribution
dependency ratio = (young dependents + old dependents)/working population
support ratio = working population/(young dependents + old dependents)
juvenility index = % of population under20/% of population over20
old-age index = % of population over60/% of population under60
Sex ratio is the number of male births per 100female births in a population. Male births consistently outnumber female births but this is balanced by male death rates being higher. Men have more accidents and health problems like heart attacks or strokes. However, in some countries, women are seen to be inferior to men so they are less likely to receive medical care.
Stage 2 population pyramid (Burkina Faso):
concavepyramid
high birth rate
high death rate for all ages
high infant mortality rate
low life expectancy
Stage 3 population pyramid (Brazil):
convex pyramid
high birth rate
low death rate that used to be high
low infant mortality rate
population dividend
Stage 4 population pyramid (USA):
barrel shape
low birth rate but immigration stops it from decreasing
low death rate
low infant mortality rate
high life expectancy
largeworking population
Stage 5 population pyramid (Japan):
spinningtop shape
lowdecreasing birth rate leads to pro-natalist policies
high life expectancy where women live longer
top heavy due to ageing population
smallworking population so high tax
BRICS (examples of successfulNICs) - Brazil, Russia, India, China, South Africa
MINT (emerging economies) - Mexico, Indonesia, Nigeria, Turkey
4AsianTigers (Hong Kong, Singapore, South Korea, Taiwan) are the four highly developed economies in Asia by being the first place of high-techmanufacturing. They took advantage of a population dividend, which is when there is a largeworking population due to the high birth rates and decreasing infant mortality.