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POPULATION PROJECTIONS

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POPULATION PROJECTIONS Session 8 - Projections for sub-national and sectoral populations Ben Jarabi Population Studies & Research Institute University of Nairobi – PowerPoint PPT presentation

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Title: POPULATION PROJECTIONS


1
POPULATION PROJECTIONS
  • Session 8 - Projections for sub-national and
    sectoral populations
  • Ben Jarabi
  • Population Studies Research Institute
  • University of Nairobi

1
2
The need for sub-national projections
  • Sub-national structures need projected population
    to quantify likely need and to help plan for
    services
  • National governments need projected pop. to
    allocate resources throughout the country
  • Ministries need projected population to implement
    and monitor programmes
  • The private sector may be interested in the
    growth of specific age groups and in the growth
    of households, both of which drive consumption

2
3
Sub-national projections
  • Subnational projections - use either a
    cohort-component procedure or one of a number of
    simpler, less data-demanding methodologies
  • Cohort-component projection, which requires all
    of the inputs of national projections plus
    internal migration by age and sex
  • Mathematical or ratio projection, with or without
    age-sex detail

3
4
Sub-national projections
  • Because of the data and computational
    requirements involved, we typically see, and is
    generally recommended that the cohort-component
    projection be applied at no lower than first
    subnational administrative level
  • Ratio projection suffices at lower than first
    subnational administrative levels

4
5
Sub-national projections
  • Generating sub-national projections that are both
    internally consistent and consistent with a
    national projection is usually more challenging
    than preparing a national projection
  • Each region presents the same data problems as
    the national projection but, in addition,
    preserving consistency across regions and dealing
    with data problems that are often more severe
    than those at the national level adds to the
    challenge

5
6
Sub-national projections
  • A national projection can be generated as the sum
    of a series of sub-national projections, or a
    national projection may be prepared first,
    followed by sub-national projections with the
    region with the largest population serving as
    residual
  • For a given country, a hybrid of procedures may
    be used. For example, projections for major
    regions can be combined into a national
    projection and can serve as separate control
    totals for provincial or district projections

6
7
Sub-national projections
  • Data Requirements
  • Census age-sex structure and
  • For cohort-component projection
  • Fertility and trend
  • Mortality and trend
  • Internal migration and trend
  • International migration,
  • or
  • For mathematical or ratio projection
  • Trend in population totals

7
8
Sub-national projections
  • Begin with base year age-sex structure
  • Adjust for coverage if possible
  • Adjust for consistency of under-10 population
    with fertility and mortality
  • Smooth at ages 10 if need be
  • Ensure that regions add to national totals by age
    and sex
  • Resulting age-sex structure provides initial
    population for forcing base-year consistency
    between fertility and mortality

8
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10
Sub-national projections
  • Cohort-Component Method - Summary
  • This method is widely used, relatively easy to
    explain, and practical
  • It permits the use of already available data and
    existing theoretical knowledge on the dynamics of
    population growth, and it takes into account
    causal factors, at least at the level of basic
    components and compositional factors

10
11
Sub-national projections
  • Cohort-Component Method - Summary
  • It has the capability to produce consistent
    comparable national subnational projections
    that are easy to update on a regular basis
  • Much of the work required to use this method lies
    in the in-depth analysis and development of
    assumptions for each of the components of change
  • However, it also has its shortcomings and
    limitations, e.g. it does not explicitly
    incorporate socioeconomic determinants of
    population change

11
12
Sub-national projections
  • Ratio Method - Summary
  • This method suffers from several shortcomings
  • They do not account for differences in
    demographic composition or for differences in the
    components of growth
  • They provide little or no information on the
    projected demographic characteristics of the
    population

12
13
Sub-national projections
  • Ratio Method - Summary
  • This method suffers from several shortcomings
  • Because they have no theoretical content, they
    cannot be related to theories of population
    growth, except perhaps the logistic model, which
    is consistent with a Malthusian view of
    population dynamics
  • Consequently, they have limited usefulness for
    analyzing the determinants of population growth
    or for simulating the effects of changes in
    particular variables or assumptions
  • In addition, they can lead to unrealistic or even
    absurd results, even over relatively short
    horizons

13
14
Sectoral projections
  • Projections of households, school enrollment,
    poverty, employment, health, and other
    population-related characteristics are needed for
    many types of planning, budgeting, and analysis -
    for simplicity, these are referred to as
    socioeconomic projections
  • Because of the demand for socioeconomic
    projections and their close link to projections
    of basic demographic characteristics, the former
    are often made on the basis of the latter

14
15
Sectoral projections
  • Projections of socioeconomic characteristics,
    however, has two important features that
    distinguish them from strictly demographic
    projections
  • One, some socioeconomic characteristics are
    directly affected by policy decisions - e.g.
    enrollment is usually dictated by entrance
    requirements
  • In such instances, knowledge of public policy is
    essential to the production of projections of
    socioeconomic characteristics

15
16
Sectoral projections
  • Two, projections of socioeconomic characteristics
    involve achieved characteristics - those that can
    change over ones lifetime, e.g. marital status,
    income, educational attainment, occupation
  • As a result, projections of socioeconomic
    characteristics involve a variety of assumptions
    in addition to those for projections of strictly
    demographic characteristics

16
17
Sectoral projections
  • Two fundamental approaches are frequently used to
    prepare socioeconomic projections
  • Participation ratio method
  • Cohort-progression method

17
18
Sectoral projections
  • Participation ratio method
  • In this approach, socioeconomic characteristics
    are related to demographic characteristics
    through the use of ratios
  • Current and historical data are used to construct
    participation ratios i.e., proportions of the
    population (stratified by age, sex, and perhaps
    other demographic characteristics) that have the
    socioeconomic characteristic of interest

18
19
Sectoral projections
  • Participation ratio method
  • Once such ratios are established, they can be
    projected in a number of ways, e.g. holding them
    constant at recent levels, extrapolating recent
    trends, or tying them to ratios found in other
    areas
  • The projected ratios are then applied to
    population projections for the geographic area(s)
    under consideration to obtain a set of
    socioeconomic projections

19
20
Sectoral projections
  • Cohort-progression method
  • In this approach, projections are developed by
    surviving people with particular socioeconomic
    characteristics
  • The numbers with the socioeconomic characteristic
    or the corresponding participation ratios are
    projected on a cohort basis using information on
    changes in the numbers or participation ratios
    between two previous dates
  • The conventional form of this method uses ratios
    of the number of persons aged a with a particular
    socioeconomic characteristic in year t to the
    number of persons aged a - y with that
    characteristic in year t - y

20
21
Sectoral projections
  • Cohort-progression method
  • It is important to remember that cohort
    progression ratios represent net cohort change
    rather than gross change
  • This distinction is important because fundamental
    patterns may be masked without knowing the
    numbers entering and exiting a population
  • The cohort-progression method in the form of
    participation ratios is used less often than the
    version of the method that employs absolute
    numbers

21
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