Demography
Demography is the "statistical and mathematical
study of the size, composition and spatial
distribution of human populations, and of the
changes over time, in these aspects through the
operation of the five processes of fertility,
mortality, migration, marriage and social
mobility"
Population composition
• Description of population on the basis of
characteristics such as age, race, sex or marital
status etc.
• These descriptions can be necessary for
understanding the social dynamics from historical
and comparative research.
• This data is often compared using a population
pyramid.
Population Composition
3. Race
There are no standard
definitions of race and
ethnicity
4. Ethnicity/ Sub-Race
Covers racial, national,
cultural, castes or linguistic
groups.
Population Composition
5. Language
One of the most sensitive
indices of ethnic origin
because linguistic
differences tend to persist
until complete assimilation
6. Religion
Associated with a variety of
differences in attitudes,
statuses, and behavior. Of
great interest for its
hypothesized relationship
with fertility, mortality,
nuptiality, and migration
Population Composition
7.Nationality
Nationality—Country of
present citizenship, or
Country of origin
8. Marital Status
Minimum list of groups
recommended by the
United Nations
– Single (never married
– Married and not legally
separated
– Married but legally separated
– Widowed and not remarried
– Divorced and not remarried
Population Composition
9. Duration of Marriage
Age at first marriage or
number of years since first
marriage, are probably the
most useful fact for the
study of their fertility
10. Education
– School Enrollment
– School Attendance
– Literacy
And Boredom!!!
Population Composition
11.Socioeconomic Status
SES is a construct that reflects one’s
access to collectively desired
resources, be they material goods,
money, power, friendship networks,
healthcare, leisure time, or
educational opportunities
Comprises of
Income
Education
Occupation
Wealth
Social standing etc
12. Economic Participation/
Labor Force
Involves the carrying on of an
activity from which the person
derives, or attempts to derive,
pay or profit. In censuses and
surveys, the entire population
can be subdivided into the
employed and the unemployed
Sex Ratio
• Varies from one population to another
• Desirable to consider separately the sex ratio
of important component subgroups (e.g. by
race, by ethnicity)
• Pattern by age– Higher at very young ages. In
human populations, there are more male births
than female births, with ratio generally
between 104 and 107
–Gap narrows with increasing age
–Goes below 100 by middle age
Sex Ratio of Births
Sex Ratio of Births—Number of male births per 100
female births
Ratio < 100 →
More female than male births
Ratio = 100 →
Same number of male and female births
Ratio > 100 →
More male than female births
Sex Ratio of Deaths
• Much more variable from area to area than sex
ratio at birth
• Often well above 100, i.e. males have a higher
mortality
• Important characteristics to include in further
analyses are age, race, ethnic group, residence,
marital status, and occupation
Sex Ratio of Migrants
• Shows more extreme values than sex ratio of
either birth or death
• Less uniform from area to area
• Patterns of sex-selectivity of migrants vary
depending largely on types of occupational
opportunities and on cultural factors
Data Collection on Age
Data on age may be secured by– Asking a direct
question on age
– Asking a question on date of birth, or month
and year of birth
– Or a combination of these
Age-Reporting Errors
• Overstatement
Mothers tend to round up the age of their
children
• Heaping/Digit preference
People tend to report certain ages at the expense
of others, Can occur at any digit but happens most
often with 0 and 5
Age-Reporting Errors
• Coverage—Missed or counted twice–
There is a tendency to miss the people in certain
age groups (e.g. young men)
Some people are counted twice
Method for Detecting the Extent of Age
Errors -Age ratios
• In the absence of sharp changes in fertility or
mortality, significant levels of migration or other
distorting factors, the enumerated size of a
particular cohort should be approximately equal
to the average size of the immediately preceding
and following cohorts
• The age ratio for a particular cohort to the average
of the counts for the adjacent cohorts should be
approximately equal to 1 (or 100 if multiplied by a
constant of 100)
• Significant departures from this “expected” ratio
indicate either the presence of census error in the
census enumeration or of other factors
Method for Detecting the Extent of Age
Errors -Age ratios
The age ratio is then:– Compared to 100
– Plotted by single year of age
– Indices and methods have been developed to
summarize the preference of or avoidance of
particular terminal digits, e.g. Whipple’s index,
Myer’s blended method
Age Heaping
Age heaping or age preference is the
tendency for people to incorrectly report
their age or date of birth. Individuals’
heaping behaviors favor certain ages,
commonly those ending in ‘0’ or ‘5’
although there is some evidence of minor
heaping at eight
Summary indices - Whipple`s Index
• Developed to reflect preference for or avoidance of a
particular terminal digit or of each terminal digit
• The original Whipple`s index measures age heaping for
the ages ending in 0 or 5
• It assumes a linear distribution of ages in each five year
age range- linear decrease in the number of persons of
each age within the age range considered
• The choice of the range 23 to 62 is standard, but largely
arbitrary. In computing indexes of heaping, ages during
childhood and old age are often excluded because they
are more strongly affected by other types of errors of
reporting than by preference for specific terminal digits
Source: Shryock and Siegel, 1976, Methods and Materials of Demography
Whipple’s index…
• Essentially designed to detect concentration or
heaping in terminal digits 0 and 5
• Applicable when ages are reported in single years
• Designed over the range 23-62 inclusive
• Assumptions of rectangularity (ages are evenly
distributed )
Summary indices - Whipple`s Index
Ranges between 100, representing no preference for
“0” or “5” and 500, indicating that only digits “0” and
“5” were reported in the census
If heaping on terminal digits “0” and “5” is measured;
Whipple’s index around the world
•Many of the countries that continue to havehigh Whipple’s Index values are in Sub-
Saharan Africa
United Nations Workshop on Census Data Evaluation, Hanoi, Viet Nam Data source:
Demographic Yearboo2k-6sDpeeccemiableris2s01u3eon age heaping:
http://unstats.un.org/unsd/demographic/products/dyb/dybcens.htm
Summary indices – Myers` Blended Index
• It is conceptually similar to Whipple`s index, except
that the index considers preference (or avoidance) of
age ending in each of the digits 0 to 9 in deriving
overall age accuracy score
• It is based on the principle that in the absence of age
heaping, the aggregate population of each age ending
in one of the digits 0 to 9 should represent 10 % of
population
• The theoretical range of Myers` Index is from 0 to 90,
where 0 indicates no age heaping and 90 indicates the
extreme case where all recorded ages end in the same
digit
•The current population of Pakistan in 2023
is 240,485,658, a 1.98% increase from 2022.
•The population of Pakistan in 2022 was 235,824,862,
a 1.91% increase from 2021.
The current population density of Pakistan in 2023
is 302.08 people per square kilometer, a 1.98%
increase from 2022.
1
What words could be used to describe the
growth of world population?
A. Exponential
B. Arithmetic
C. Logarithmic
D. Steady
E. Constant
2
How is population density calculated?
A. Area divided by population
B. Population divided by GNP
C. Resource capacity divided by population
D. Population multiplied by area
E. Population divided by area
3
What is the geographic term for a country with
a high population density?
A. A densely populated country
B. An open country
C. An overpopulated country
D. A sparsely populated country
E. An under populated country
4
The dependency ratio is the ratio of:
A. young to middle-aged people
B. young and old to working-aged people
C. old to middle-aged people
D. young to old people
E. young to working-aged people
5
Census is not affected by:
A. Seasonal migration
B. Geographical inaccessibility of areas
C. Birth and death rate of population
D. Political influence
School Enrollment—Enrollment at any regular educational institution, public or private, for systematic instruction at any level of education during a well-defined and recent time period (United Nations)
School Attendance—While enrollment data are available at yearly intervals, attendance data may be collected daily in school classrooms
When a large number of ages are estimates, age distribution contains visible peaks at preferred ages. Often these are ages that end in zero or five, but they can also be other preferred digits that are of cultural significance. This pattern is known as “age heaping”, and can be easily measured. Age heaping causes artificial distortion of the age structure of a population, resulting in inaccurately reported population indicators, and leads to erroneous conclusions about demographic patterns in the population.
Age Heaping: Age heaping or age preference is the tendency for people to incorrectly report their age or date of birth. Individuals’ heaping behaviours favour certain ages, commonly those ending in ‘0’ or ‘5’ although there is some evidence of minor heaping at eight
Whipple's index (or index of concentration), invented by American demographer George Chandler Whipple (1866–1924), is a method to measure the tendency for individuals to inaccurately report their actual age or date of birth. Respondents to a census or other survey sometimes report their age or date of birth as a round number (typically ending in 0 and 5), or to be more culturally favorable, for example, so that they appear younger or to have been born on a date considered luckier than their actual date of birth. The process of reporting a rounded or “lucky” age is known as age-heaping.
The index score is obtained by summing the number of persons in the age range 23 and 62 inclusive, who report ages ending in 0 and 5, dividing that sum by the total population between ages 23 and 62 years inclusive, and multiplying the result by 5. Restated as a percentage, index scores range between 100 (no preference for ages ending in 0 and 5) and 500 (all people reporting ages ending in 0 and 5).[1] Although Whipple's index has been widely applied to test for age heaping, it assumes that the heaping is most likely to occur in 5 and 10 year intervals or some other fixed interval based on digit preference or rounding. While other measures of age heaping, such as Myers' Blended Index,[3] can be applied to find preferences for any terminal digit, the patterns of heaping may be complex.