Presentation and Assignment on Population / Demography including mortality, fertility and their measure, population census, vital registration, demography survey, House hold survey, population composition, errors in demographic data, demographic measures.................By Muteeullah Channa University of Sindh
this presentation will give a basic knowledge about age and sex structure, population pyramid with different countries age-sex structure along with Bangladesh perspective.
TERMS OF DEMOGRAPHIC DATA SOURCES
Demography : study of statistical description and analysis of human population.
Population : summation of all the organism of the same group in a particular geographical area.
Population census : a complete population count at a point in time within a particular area.
Vital registration : registration on live Births, Deaths, Fetal deaths, Marriages, and Divorces.
Sample Survey: representative portion of the population .
DEMOGRAPHIC DATA
Demographic data is the study of the population its static and dynamic aspects.
Static aspect (age, sex, race etc.)
Dynamic aspect (fertility, morality, migration)
this presentation will give a basic knowledge about age and sex structure, population pyramid with different countries age-sex structure along with Bangladesh perspective.
TERMS OF DEMOGRAPHIC DATA SOURCES
Demography : study of statistical description and analysis of human population.
Population : summation of all the organism of the same group in a particular geographical area.
Population census : a complete population count at a point in time within a particular area.
Vital registration : registration on live Births, Deaths, Fetal deaths, Marriages, and Divorces.
Sample Survey: representative portion of the population .
DEMOGRAPHIC DATA
Demographic data is the study of the population its static and dynamic aspects.
Static aspect (age, sex, race etc.)
Dynamic aspect (fertility, morality, migration)
Md.Likujjaman Like
Department of Geography and Environmental Science
Begum Rokeya University, Rangpur
Introduction Population data
Meaning of Population data Information of Population data Sources of Population data Example of Population data Population Census Definition of Population Census Process of Population Census Conditions of Population Census
Types of Population Census Legal information of Population Census Advantage and Disadvantages of Population Census
Sample Survey
Definition of Sample Survey Types of Sample Survey Advantage and Disadvantages of Sample Survey
Vital Registration System
Definition
Vital Elements History of Vital Registration System
International Migration
Meaning Causes of International Migration Sources of International Migration
Other Sources of Population data in Bangladesh
National Sources
International Sources
Conclusion
Reference
Created By:
Md.Likujjaman Like
Session: 2015 - 16
Department of Geography and Environmental Science
Begum Rokeya University, Rangpur
A Brief Discussion on demographic transition theory.Rizwan Khan
Demographic transition (DT) refers to the transition from high birth and death rates to lower birth and death rates as a country or region develops from a pre-industrial to an industrialized economic system.
IT IS GIVEN BY: FrankW. Notestein. Frank Wallace Notestein (August 16, 1902 – February 19, 1983)
The demographic transition theory is a generalized description of the changing pattern of mortality, fertility and growth rates as societies move from one demographic regime to another.
Md.Likujjaman Like
Department of Geography and Environmental Science
Begum Rokeya University, Rangpur
Introduction Population data
Meaning of Population data Information of Population data Sources of Population data Example of Population data Population Census Definition of Population Census Process of Population Census Conditions of Population Census
Types of Population Census Legal information of Population Census Advantage and Disadvantages of Population Census
Sample Survey
Definition of Sample Survey Types of Sample Survey Advantage and Disadvantages of Sample Survey
Vital Registration System
Definition
Vital Elements History of Vital Registration System
International Migration
Meaning Causes of International Migration Sources of International Migration
Other Sources of Population data in Bangladesh
National Sources
International Sources
Conclusion
Reference
Created By:
Md.Likujjaman Like
Session: 2015 - 16
Department of Geography and Environmental Science
Begum Rokeya University, Rangpur
A Brief Discussion on demographic transition theory.Rizwan Khan
Demographic transition (DT) refers to the transition from high birth and death rates to lower birth and death rates as a country or region develops from a pre-industrial to an industrialized economic system.
IT IS GIVEN BY: FrankW. Notestein. Frank Wallace Notestein (August 16, 1902 – February 19, 1983)
The demographic transition theory is a generalized description of the changing pattern of mortality, fertility and growth rates as societies move from one demographic regime to another.
Vital statistics, the most important branch of statistics, deals with the mankind in aggregate.
It provides a description of the vital events occurring in given communities.
By vital events, we mean birth, death, sickness, marriage, divorce, fertility, etc.
It deals with people rather than with things.
Vital statistics are of much importance for the people and nation.
Vital statistics is accumulated data gathered on live births, deaths, migration, fetal deaths, marriages and divorces. The most common way of collecting information on these events is through civil registration, an administrative system used by governments to record vital events which occur in their populations.
Vital statistics is accumulated data gathered on live births, deaths, migration, fetal deaths, marriages and divorces. The most common way of collecting information on these events is through civil registration, an administrative system used by governments to record vital events which occur in their populations.
Demography as the statistical study of human population with regard to their size & structure, their composition by sex, age, marital status and ethnic origin, and the changes to these population, like changes in their birth rates, death rates and immigration.
Demography is the branch of social size, structure, which deals with the study of size, structure and distribution of populations, along with the spatial and temporal changes in them in response to birth, migration, ageing and death.
In demography the following three elements of population are given special attention:
Change in the size of population (increase or decrease)
Structure of population (on the basis of sex or age groups)
Geographical distribution of population (on the basis of state or territory).
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
3. Table of Contents
Introduction……………..…………………………………………….1
Demography, Demographic Analysis, Population Studies
Sources of Demographic Data.……………………………………….2
Census, Civil Registration System, Uses of Civil Registration, Sample Surveys
Population Census………………………………………...…………..3
Features of population census, sponsorship, defined territory, university, simultaneity,
individual unity, compilation and publication
Vital Registration……………………………………………….…….4
Demographic Survey……………………………………………….....4
Age, Ethnicity, Education, Employment
Household Survey……………………………………………………..7
Components of Population Growth………………………………….7
Fertility, Mortality, Immigration, Natality
Population Composition………………………………………….…...7
Age structure, Sex composition, Rural-Urban Composition
Errors in Demographic Data…………………………………….……8
What is error, Coverage errors, Content errors, Errors in age data
Demographic Measures……………………………………….…….....9
Count, Rate, Ratio, Fertility, Fertility Rate, Mortality, Mortality Rate
Reference………..………..……………………………………………11
4. INTRODUCTION
Demography is the statistical analysis of population data. The term Demography,
was coined from two Greek words (demos meaning people, and graphein meaning to write or
describe). The term “Demography” is the statistical and mathematical study of the size,
composition, and spatial distribution of human population, and of changes over time in these
aspects through the operation of five processes of fertility, mortality, marriage, migration and
social mobility. Usually the demographic data are drawn from various sources such as national
censuses, civil registration system as well as the sample surveys. Modern demography is divided
into two parts, namely
Demographic Analysis – this deals with the study of the components of change in the population.
These components are also called population dynamics, i.e. fertility, mortality, and migration.
Population Studies – this deals with addressing demographic events and phenomenon in the socio
– economic context. It relates population dynamics to socio – economic, biological, and political
or other environmental factors.
Ideally, the study of demography requires extensive and accurate population statistics. The
demographer subsists by calculating rates, assuming implicitly a decision – making process
regarding when, how many and how far in – between to have babies; by explaining birth intervals
by postpartum amenorrhea, voluntary abstinence, contraceptive use – effectiveness, period of
Infecundability and related fertility – inhibiting indicators; by constructing elegant life tables; by
measuring activity rates and migration rates and by periodically projecting the size of the total
population by its components; by validating and updating the results usually presented in three
variants – high, medium and low, using census figures where available and vital registration where
these exist.
5. SOURCES OF DEMOGRAPHIC DATA
(A) CENSUS
It is compiling, evaluating, analysing and publishing demographic, economic and
social data pertaining, at a specific time, to all persons in a country or in a well-delimited part of
a country.” In other words, the enumeration of the entire population of a country or a region at a
particular time is known as census.
How a National Census is taken:
Census taking is a very complex and extensive task and is, therefore, usually
conducted by governments. In many countries, provision for census taking is made by law. While
such a law makes the co-operation of each citizen mandatory, it also ensures that confidential
nature of census information provided by individuals shall be preserved.
(B) CIVIL REGISTRATION SYSTEM
According to the United Nations, civil registration is defined as the continuous
permanent and compulsory recording of the occurrence of vital events, like, live births, deaths,
foetal deaths, marriages, divorces as well as annulments, judicial separation, adoptions,
legitimations and recognitions. Civil registration is performed under a law, decree or regulation
so as to provide a legal basis to the records and certificates made from the system, which has got
several civil uses in the personal life of individual citizens.
USES OF CIVIL REGISTRATION
Civil registration has a dual purpose − legal on the one hand, and statistical,
demographic and epidemiological on the other. In the first purpose, the records generated have
importance as legal records documenting the facts surrounding each registered vital event. In that
sense, each vital record has an intrinsic importance of its own.
Uses of civil registration records for administrative purposes
6. Live birth records are the basis for many public health programmes for post‐natal
care of mother and child, and may be used, when needed, for programmes of vaccination and
immunization, premature‐baby care, assistance to disabled persons. Death records are used to
provide legal permission for burial or other disposal of deceased individuals. They can also
provide information of epidemiological importance, and indicate the need for preventive control
measures. Death records are also necessary to clear a number of administrative files, such as
disease‐case registers, population registers, social security files, military service files, electoral
rolls, identity files and tax registers
(C) SAMPLE SURVEYS
There are three systems which provide data on vital rates at the national level. These
are National Sample Survey, Sample Registration System and in recent years, National Family
Health Surveys. These surveys provide different kinds of data, but all of them provide certain
fertility and mortality indicators. In other words Sample survey seeks to collect information only
from a fraction of the population. It is employed to arrive at estimates of demographic
characteristics, size, distribution, mortality, fertility and migration. In Pakistan, the efforts to
generate reliable demographic data has included the conduct of numerous national sample surveys.
POPULATION CENSUS
A census of population may be defined as the total process of collecting, compiling
and publishing demographic, economic and social data pertaining, at a specified time or times, to
all persons in a country or delimited territory.
Essential Features of the Census
Some of the essential features of an official national census are;
Sponsorship - an official national census is sponsored and carried out by the national government.
Defined Territory - the coverage of a census operation should relate to a precisely defined
territory.
Universality – the enumeration should include every member of the community within the scope
of the census without omission or duplication.
Simultaneity - the total population enumerated should refer to one well defined point of time.
Individual unity – a census implies that separate data are recorded for each individual by direct
enumeration and not by registration.
Compilation and publication – the compilation and publication of data by geographic areas and
by basic demographic variables is an integral part of a census.
7. VITAL REGISTRATION
The vital registration is the continuous, permanent and compulsory registration of the
occurrence and characteristics of vital events – births, deaths, marriages, change of name,
nationalisation e.t.c The statistics generated from the exercise is referred to as vital statistics
because they have to do with the individuals entry into, and departure out of life, with the changes
in the civil status of the individual in his/her life time.
In many developing countries, vital statistics are inadequate and defective to the extent that they
can hardly serve to measure demographic levels and trends. In Pakistan, the vital registration is
one of the major responsibilities of the National Population Commission of Pakistan.
DEMOGRAPHIC SURVEY
A demographic survey was used to estimate the level and determinants of perinatal
mortality in eight lower socio-economic squatter settlements of Karachi, Pakistan. The perinatal
mortality rate was 54.1 per 1000 births, with a stillbirth to early neonatal mortality ratio of 1:1.
About 65% of neonatal deaths occurred in the early neonatal period, and early neonatal mortality
contributed 32% of all infant deaths. Risk factor assessment was conducted on 375 perinatal deaths
and 6070 current survivors. Poorer socio-economic status variables such as maternal and paternal
illiteracy, maternal work outside the home and fewer household assets were significantly
associated with perinatal mortality as were biological factors of higher parental age, short birth
intervals and poor obstetric history. Multivariable logistic analysis indicated that some
socioeconomic factors retained their significance after adjusting for the more proximate biological
factors. Population attributable risk estimates suggest that public health measures for screening of
high-risk women and use of family planning to space births will not improve perinatal mortality
substantially without improvement of socio-economic conditions, particularly maternal education.
The results of this study indicate that an evaluation of perinatal mortality can be conducted using
pregnancy histories derived from demographic surveys.
AGE (OR BIRTH DATE)
Age is one of the most common demographic questions asked in surveys. How old a person
is will often determine his/her knowledge and experience with the focus of the survey. When
administering a survey about consumer electronics, a respondent in his 20s will most likely answer
the question differently than a respondent his 70s. Asking a respondent about Age is often one of
the first demographic questions asked in a survey.
Q. Age: What is your age?
• 0-14 years:
• 15-64 years:
• 65 years and over:
8. ETHNICITY
Capturing a respondent’s ethnicity or race is another common demographic question. A
person’s ethnicity or culture may influence his/her responses to survey questions. Answers may
be influenced by the respondents’ experiences with the survey topic. For example, someone raised
in a rural Native American culture may respond to questions about topics such as the environment
differently from someone raised in an urban culture.
Q. Ethnicity origin (or Race): Please specify your ethnicity.
• Punjabi
• Pushto
• Sindhi
• Siraiki
• Muhajirs
• Balochi
• Other
EDUCATION
Asking a respondent what their highest level of education completed is often found on
surveys. Respondents who completed a four-year degree at a college or university may answer
questions differently than those whose education ended in high school.
Q. Education: What is the highest degree or level of school you have completed? If currently
enrolled, highest degree received.
• No schooling completed
• Nursery school to 8th
grade
• Some high school, no diploma
• High school graduate, diploma or the equivalent (for example: GED)
• Some college credit, no degree
• Trade/technical/vocational training
• Associate degree
9. • Bachelor’s degree
• Master’s degree
• Professional degree
• Doctorate degree
PROFESSIONAL OR EMPLOYMENT STATUS
Profession or career questions are often asked in demographic surveys. A financial advisor
will likely answer questions about money and financial management differently than someone
from another profession. Profession questions allow survey researchers to factor in respondents’
experiences or biases when analyzing survey results.
Q. Employment Status: Are you currently…?
• Employed for wages
• Self-employed
• Out of work and looking for work
• Out of work but not currently looking for work
• A homemaker
• A student
• Military
• Retired
• Unable to
10. HOUSEHOLD SURVEY
Questions about the household composition, including marital status, are often important to
survey researchers. Respondents who are married may respond to questions differently than those
who are separated or divorced. The number of children in the household and their age ranges may
influence the type of television programming watched or the type of snack foods purchased
weekly.
Q. Marital Status: What is your marital status?
• Single, never married
• Married or domestic partnership
• Widowed
• Divorced
• Separated
COMPONENTS OF POPULATION GROWTH
Basic components of population growth are fertility, natality, immigration migration. These
components are causes of growth
Components of Population Growth
1. Fertility
Fertility is main component of population growth, it increases population.
2. Natality
Increases population size, each species will have its own maximum birth rate. Maximum birth
rates are seen when conditions are ideal. This can lead to exponential growth.
3. immigration
It increases population growth, it operates when populations are not completely isolated.
4. Migration
Migration is also component of population growth, it also increases population, because in rural
areas civic facilities and employment are not available, that’s why villagers go to the urban areas.
POPULATION COMPOSITION
Important characteristics of a population, besides its size and growth rate, are the way in
which its members are distributed according to age, sex, and urban/rural status.
1. Age Structure:
The age structure of a population refers to the number of people in different age groups.
A larger size of population in the age group of 15-59 years indicates the chances of having a larger
working population. On the other hand, if the number of children in the population is high, the
dependency ratio will be high. Similarly, a growing population in the age group of 60 plus
indicates greater expenditure on the care of the aged.
2. Sex Composition:
Another structural feature of populations is the relative numbers of males and females.
Defined as the number of females per 1000 males in the population, sex ratio is an important social
11. indicator of the equity prevailing between males and females at a given point of time. Factors
influencing the sex ratio are, mainly, the differentials in mortality, sex selective migration, and
sex ratio at birth and, at times, the sex differential in population enumeration.
3. Rural-Urban Composition:
The division between rural and urban areas is significant in terms of geographical
distribution of population. The percentage of rural population is higher in farm-based agricultural
countries, while industrially, developed regions have higher share of urban population.
ERRORS IN DEMOGRAPHIC DATA
What is error?
Error (statistical error) describes the difference between a value obtained from a data
collection process and the 'true' value for the population. The greater the error, the less
representative the data are of the population
The accuracy of demographic statistics varies from one country to another. The deficiencies
are most in the developing countries because among other problems of lack of administrative
machinery, individual ignorance about certain personal details and sometimes open hostility to
some types of inquiry, due to ignorance. Errors in the demographic data are mainly of two types,
namely, coverage and content errors.
Coverage Errors – are due to persons being missed or counted more than once. They are of two
types. Individual of a given age may have been missed by the census officials or erroneously
included in it (i.e. counted twice). The first type is called under enumeration at this age, while the
second type represents over enumeration, the balance of the two types of errors represents net
under enumeration at this age.
Content Errors - refers to instances where the characteristics of a person counted in a census
enumeration or in the registration of a vital event are incorrectly reported or tabulated. The five
principal sources of errors of content are:
The respondent - when he/she intentionally or unintentionally fail to give the appropriate
information required. A classic example is misstatement of age or the case where widows or
divorces report themselves as single.
The enumerator - where he/she classifies a person incorrectly even though give the correct
information.
The coding process - errors caused from the failure to allocate information on the census or survey
schedule to the proper code.
The editing process - Errors may arise at all stage of the compiling process or during tabulations.
12. ERRORS IN AGE DATA
Demographic data are usually classified by age and sex. Errors in age reporting are more
frequent than errors in sex reporting. With reference to Pakistan, in census/survey reporting of
age, there are five major forms irregularities –
• Under reporting of children aged less than one year.
• A tendency to give an exact age of some legal significance e.g. voting at election or
marriage.
• Distinct over statement of age at very advanced ages.
• The reporting of some individuals as being of an unknown age.
• Age heaping.
• These irregularities must be detected, adjusted or corrected before demographic data could
be used for any meaningful analysis. Hence, the following methods of evaluating
demographic data or of detecting age irregularities. Whipple’s Index of Digit.
DEMOGRAPHIC VARIABLES AND MEASURES
Demography is the study of how human populations are structured and how human
populations change.
Types of Measures:
Count = The absolute number of a population or demographic event (e.g. a birth), for a specified
time and place.
Rate = The frequency of a demographic event in a population for a given time period divided by
the population “at risk” for the same time period.
Ratio = The relation of one population subgroup to the total population or to another subgroup.
DEMOGRAPHIC MEASURES
Demographic characteristics help us understand population structure:
•Age •Place of Residence
•Sex •Income
•Race •Education
DEMOGRAPHIC EVENTS HELP US UNDERSTAND POPULATION CHANGE:
❖ FERTILITY
Fertility = The rate of childbearing in a country’s population.
Crude Birth Rate = The number of live births in a year per thousand people in the population.
To calculate, take the total number of births in a year for a region and divide by the mid-year
population, then multiply by 1,000.
# of Births x 1,000 = Crude Birth Rate
Total Population
13. General Fertility Rate = Number of live births per 1,000 women aged 15 – 49 (the typical
childbearing years).
To calculate, take the total number of births in a year for a region and divide by the total number
of women age 15-49 (i.e. those “at risk” of giving birth), then multiply by 1,000.
# of Births x 1,000 = Fertility General Rate
# of Women Age 15-49
Age-Specific Birth Rates = The number of live births to women in a given age class (e.g.
teenagers). To calculate, take the total number of births to women in a particular age group, and
divide by the total number of women in that age group.
# births to women 15−19 x 1,000 = Age-Specific Fertility Rate
# women ages 15−19
Total Fertility Rate = The average total number of children a woman will have when she
completes childbearing, assuming she follows the dominant age-specific birth patterns for her time
and place.
This is an artificial measure, as it does not apply to any individual woman. It is a way to assess
the childbearing habits of a typical woman using the dominant childbearing habits of all women
in a society at a given time.
❖ MORTALITY
Mortality = The rate of death in a country’s population.
• Aspects of interest:
• Age at Death
• Cause of Death
• Life Expectancy
MEASURES OF MORTALITY
Crude Death Rate = The number of deaths in a year per thousand people in the population.
To calculate, take the total number of deaths in a year for a region and divide by the mid-year
population, then multiply by 1,000.
# of Deaths x 1,000 = Crude Death Rate
Total Population
Age structure affects the crude death rate; older populations may have higher crude death rates,
but these reflect the age structure, not the health conditions or other factors.
Measures of Mortality
Age-Specific Death Rate
# Deaths toPeople 45−49 x 1,000 = Age-Specific Mortality Rate
# People 45−49
14. Cause-Specific Death Rate
# Death from caner x 1,000 = Cause-Specific Mortality Rate
# Total Population
Infant Mortality = The number of deaths of infants under age 1 per 1,000 live births in a given
year.
# Deaths of infants under age 1 x 1,000 = Infant Mortality Rate
# Total live Births
Life Expectancy = The average number of additional years one could expect to live if the current
age specific death rates remained the same for the rest of his/her life.
Life Expectancy at Birth = Average number of years a baby born this year can expect to live, if
current age-specific death rates remain the same. A good indicator of health conditions.
Life Expectancy varies by gender (and other factors); it is usually cited separately for males and
females.
REFERENCE :
❖ Pollard, A.H., Yousaf, F & Pollard, G.M. (1982), “Demographic Techniques”, Pergamon Press, Sydney.
❖ Rukanuddin A.R. and Farooqi, M.N.I.., (1988), “The State of Population in Pakistan – 1987”, NIPS,
Islamabad.
❖ Govt. of Pakistan (1998), National, Provincial and District census reports and other supplementary
reports with respect to 1998 census; PCO, Islamabad.
❖ Pakistan Demographic Survey (2007), Govt. of Pakistan.
❖ Nsowah – Nuamah, N.N.N. (2007). Demographic statistics. A Handbook of Methods and Measures in
Demography. Accra. Academic Press
❖ United Nations (1996), “Added years of Life in Asia”, ESCAP; U.N., Thailand.
❖ Haupt, A., Kane, T. T., and Haub, C. (2011) PRB’s Population Handbook.
❖ United Nations (1998), “World Population Assessment”, UNFPA; New York.
❖ Keyfitz, N. (1983) “Applied Mathematical Demography”, Springer Verlag N.Y.
❖ Brass, W. et al (1968). The Demography of Tropical Africa. New Jersey: Princeton University.
❖ https://www.slideshare.net/patelsweta/demography-ppt
❖ https://www.slideshare.net/wrigveda/vital-stat-demography
❖ https://www.slideshare.net/Jijoallsaints/demography-13868340
❖ http://www.nips.org.pk/
❖ https://ssw.unc.edu/mch/node/153
❖ http://www.tandfonline.com/loi/rpst20
❖ https://en.wikipedia.org/wiki/Demography
❖ http://www.tandfonline.com/toc/rpst20/current
❖ http://www.springer.com/gp/social-sciences/population-studies
❖ http://www.statcan.gc.ca/pub/82-229-x/2009001/demo/poc-eng.htm
❖ http://papp.iussp.org/sessions/papp102_s08/PAPP102_s08_060_010.html
❖ https://gradschool.princeton.edu/academics/fields-study/population-studies
❖ http://www.waikato.ac.nz/fass/about/social-sciences/population-studies-and-demography
❖ http://methods.sagepub.com/reference/encyclopedia-of-survey-research-methods/n128.xml
❖ http://www.studylecturenotes.com/basics-of-sociology/demography-versus-population-studies
❖ http://healthandrights.ccnmtl.columbia.edu/demography/demography_and_population_studies.html