Population Trends. Trends in growth, composition and
migration
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WAS LAST UPDATED mid–January 2009.
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1) Key Points
| KEY
POINTS |
- In the last two
and a half centuries the populations of countries
have been going through the Demographic
Transition – first a decline in
mortality then later a decline in fertility, the
former allowing a massive increase in population
before the latter takes effect. But many countries
have not completed the transition.
- The 20th century
saw the world population grow from 1.6 to 6.1
billion people.
- In the developed
regions of the world following completion of the
Demographic Transition, fertility rates have
generally fallen still further, at a time of
massive social change, this transition being termed
the Second Demographic
Transition.
- The HIV/AIDS
pandemic has had significant effects on world
population growth. But even in sub–Saharan
Africa where it's effects have been most severe,
the resultant mortality has not prevented
population growth and will not prevent future
population growth in the Region.
- During the 20th
century, there has been a massive increase in
international migration, mainly from the less
developed to the more developed regions; and in
recent years, this migration has been the cause of
about two thirds of the population growth in more
developed regions.
- The world
population is projected to increase from 6.7
billion in 2007 to 9.2 billion in 2050. This
increase of 2.5 billion is roughly equivalent both
to the combined present day populations of China
and India, and the size of the whole world
population as it was in 1950. This growth will be
almost entirely in the less developed
regions.
- The continued
movement of people from rural to urban areas
(urbanization), means that all the growth
of the world population during the next few decades
will take place in urban areas.
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References in the text are given in the form (Rx).
a) Past World Population Growth
The present world population is vastly greater in size
than it has been during all of the history of mankind. It
is only comparatively recently that the population entered
into the phase of continued and accelerating population
growth that has now brought the population to over 6
billion persons. In the Paleolithic Age the population was
probably only around 1 million, in the Neolithic Age around
10 million, and in the Bronze age around 100 million. But
during these ages, periods of population growth alternated
with periods of stagnation and decline (R1).
The growth of the world population in the last two
thousand years is depicted in Fig. 1. Except for recent
times, data is scanty and population estimates are
conjectural. There were various population fluctuations
such as that caused by the plague in Europe in the 14th
century, but these are ignored in the graph which simply
shows the overall population trend.
| Figure
1 |
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Graph based on data in The world at six
billion, United Nations Population Division
(undated)
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The twentieth century saw
the largest total century population increase ever. At the
start there were 1.6 billion people. At the end there were
6.1 billion people. There was however a big difference in
population growth between more developed regions and less
developed regions. In the former the population more than
doubled, but in the latter the population more than
quadrupled (R2).
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The world population was estimated to be 6.7 billion in
2007 (R3). The 10 countries with the largest populations
(millions) were:
| Country |
Population |
Country |
Population |
| China |
1329
|
Pakistan |
164
|
| India |
1169
|
Bangladesh |
159
|
| US |
306
|
Nigeria |
148
|
| Indonesia |
232
|
Russian Federation |
142
|
| Brazil |
192
|
Japan |
128
|
Effects of the Aids epidemic
AIDS is the disease that is the eventual outcome of HIV
virus infection, and it has caused so many deaths that the
disease has had a significant effect on population trends.
The World Health Organization recently gave (R4) the
following facts about HIV:
- Worldwide an estimated 33 million people are living
with HIV.
- Since the beginning of the HIV epidemic in 1981, 25
million people have died of AIDS globally.
- Every day, there are 7 400 new HIV infections, 96% of
which are in the low– and middle– income
countries.
- Sub–Saharan Africa remains the region most
heavily affected by HIV, accounting for 67% of all people
living with HIV and for 75% of AIDS deaths in 2007.
- Recently, there is evidence that HIV is decreasing in
some of the heavily affected countries such as Kenya,
Rwanda, Uganda and Zimbabwe, resulting in a stablization
of the global epidemic.
Demographic and other consequences of HIV/AIDS
In the last decade the
countries worst affected by AIDS lie in sub–Saharan
Africa; in these countries mortality has surged and life
expectancy dropped. But since these countries also have
high fertility rates, and mostly relatively small
populations, the epidemic has not caused population decline
in the sub–Saharan region as a whole.
“In a few countries, such as Botswana, Lesotho, and
South Africa, population growth has slowed dramatically or
stopped due to AIDS, but overall growth in the region
surpasses that of other world regions” (R5).
In severely affected countries, AIDS–related
deaths are causing the age structure of populations to
change: In developing countries where HIV and AIDS are at
low levels, the majority of deaths occur in the very young
and very old age groups. In contrast, in countries with
high HIV and AIDS incidence, the age groups most affected
(in terms of actual deaths) are the working population age
groups, that is people who became infected when they were
adolescents or young adults. The practical consequence of this is that
communities lose disproportionate numbers of both
experienced workers and parents, creating gaps in society
that are difficult to fill and thus having a very
detrimental effect on the economies of these countries
(R5).
If we focus just on food production, “a study by
the Food and Agriculture Organization found that in the 10
African countries most severely affected by HIV/AIDS, the
agricultural workforce will decline between 10 percent and
26 percent by 2020. Another study found that in countries
such as Kenya, Malawi, Tanzania, and Zambia, slow growth in
agricultural production could result in growing food
insecurity by 2010” (R5).
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The Demographic Transition
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Births (olive)
Deaths (red)
Population size (blue)
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Time in years
|
Births and Deaths per Year and
Total Population Size
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Since about 1750, the world population has grown
massively, at an increasing rate until recently, from some
size of the order of 500 million, to over 6 billion now. In
the 'industrialized' or 'developed' world, during this
period of population growth, national populations have
largely completed going through what is called the
'demographic transition' (see graph above). This is the
transition from a largely rural agrarian society with high
fertility and mortality rates, to a predominantly urban
industrial society with low fertility and mortality
rates.
In the industrialized countries, generally speaking, the
transition began with a large drop in mortality rate. Only
much later did fertility rate decline, so the decrease in
mortality rate allowed a massive population explosion. Then
with the later decline in fertility rate, the population
growth slowed down and has or will soon cease (we ignore
here the effect of possible high future immigration). It
can be seen then that there are two key transitions within
the 'demographic transition' – first a mortality
transition and second a fertility
transition.
Population growth between
these two transitions was mitigated by emigration:
“Emigration played an important role in the ....
transition by relieving population pressures built up by
the large gap still remaining between birth and death rates
in the late 19th and early 20th
centuries” (R6).
The underlying causation of the demographic transition
was complex; various factors were involved, such as changes
in modes of agricultural production and improvements in
hygiene. The timing and details of the transition however,
varied considerably between countries, and in Europe,
between different regions. And in France, where fertility
declined relatively early, there was no big time gap
between the onset of mortality decline and the onset of
fertility decline (R7).
It is worth noting at this point the meaning of two much
used demographic terms. First, the Total Fertility
Rate (TFR). This is the number of children that would
be born to a woman if current patterns of childbearing
persisted throughout her childbearing years (usually
considered to be ages 15 to 49). Second, The
Replacement Fertility Rate (RFR). The RFR is the
fertility rate that will ensure that each woman will be
replaced by one daughter in the next generation (it is only
women that add the males as well as the females to the
population!). In developed world countries the RFR is a
little over two rather than two because, first, slightly
fewer girls are born than boys, and second, some baby girls
do not survive to reproduce. But in the developing world,
the RFR is usually higher, sometimes much higher, because
in some countries there is a relatively high likelihood
that newborn girls will not survive to their own
reproductive age; also, if in a country many women undergo
abortion to avoid the birth of unwanted daughters, this
will also affect RFR. To bring fertility rate down to about
two in these countries it would be necessary to lower the
number of abortions and lower the high death rate amongst
girls and young women.
What then has been happening, and what is likely to
happen in future, in developing countries? As far as
mortality is concerned, after World War Two, mortality
declined considerably in developing world countries; this
was mainly a consequence of public health action that
reduced the impact of infectious diseases. But in recent
decades improvements levelled off, the HIV pandemic playing
a major role. With the worsening environmental conditions
in some regions, and the likelihood of further worsening
through the effects of climate change, further mortality
reductions are not guaranteed.
While fertility has generally been declining in
developing world countries, there has been a considerable
variation in the time of onset, rate, and extent of this
fertility decline. Key facts here seem to be (R8 and see
also R9):
1. Taking together those countries where fertility
decline has proceeded for a long time with a considerable
reduction in fertility, the decline of fertility slowed
down in later stages of the decline and in a few countries
fertility stalled. In Argentina and Uruguay the transition
began in the first half of the twentieth century, with
fertility reaching about 3 in the 1950s; but since then,
there has been little change in fertility and it was still
above 2.5 in 1995–2000. Other countries where the
fertility decline stalled were Bangladesh, Colombia,
Dominican Republic, Ghana, Peru and Turkey (and in Kenya
where there was a dramatic fall in fertility rate, the fall
stalled in the early years of the present century and
births per woman remained at around 4.8 – R10). A
more recent publication provides further support for the
conclusion that fertility decline has stalled in some
countries and may be more widespread than previously
thought (R11 see also R12).
2. A certain level of human development must be reached
(in particular improvements in both health and education)
for any fertility transition to occur at all. Key
indicators of human development here are life expectancy
and literacy. And it seems likely that life expectancy
needs to rise to above 70 and literacy to above 90 if
fertility rate is to come down to replacement level in the
near future. “Since the large majority of developing
countries fall well short of these levels of human
development, considerable progress will have to be made
before near–replacement fertility becomes
widespread” (R8).
Now the HIV/AIDS crisis of the last 25 years has halted
or reversed much of the life–expectancy gains of
earlier decades in many African countries (R5). Reversal of
life–expectancy gains, poorly performing economies
and the lower priority given to family planning programmes
may have contributed to the stalling of fertility decline
in sub–Saharan Africa (R11).
So it is quite possible, we think, that some developing
countries may never achieve reduction of fertility to
replacement level, and so never complete the demographic
transition. And we note that while stalling of fertility
decline is accompanied by stalls or sharp decelerations in
contraceptive use trends, there is little support for the
hypothesis that declining access to contraception is
a main cause of stalling fertility (R13).
As Jones wrote quite a long time ago now:
“But although the early stages of demographic
transition may be observed in the Third World, there is no
assurance that later stages will replicate European
experience and achieve, through fertility regulation,
environmentally sustainable population levels”
(R14).
Nevertheless, the International Institute for Applied
Systems Analysis in 2004 was maintaining the expectation
that almost all the countries in the world will complete
their demographic transitions by the end of the present
century (R15).
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Since around the mid 1960's, presently developed
countries have been going through further demographic
changes. The degree of commonality of these changes has led
many experts to think these countries have been going
through what has been termed the Second Demographic
Transition (SDT), a concept first introduced by R.
Lesthaeghe and D. Van de Kaa (see R6).
The SDT has the following features:
A decline of the Total Fertility Rate (TFR) not just to
replacement level (2.1), but to well below replacement
level, an upward trend in divorces, the postponement of
marriage and parenthood, the substitution of cohabitation
for marriage, an increase in extra–marital and
extra–cohabitational childbearing and increase in
non–family living. The adoption of modern
contraception, especially the pill, has played a catalytic
role, giving individuals the possibility to almost
completely control their reproduction.
These demographic changes have coincided with, and have
been driven by, socio–economic trends. Disagreement
exists as to the relative importance of these various
trends, and countries seem to differ in the relative
importance of the trends. But trends that are generally
considered to be important include increased
secularization, an increasing number of young people
enrolled in secondary and tertiary education, growing
emancipation and labour participation of women, the growth
of the service economy, the expansion of the welfare state,
and the development of what are sometimes referred to as
post material values, emphasizing
self–realisation and personal autonomy (R6, R16,
R17).
However, when the demographic changes are examined in
detail, it can be seen that there has been marked variation
between countries. While some convergence of trends has
occurred between all developed countries, convergence has
been incomplete. In Germany and it's Germanic language
speaking neigbouring countries, there was a near–zero
trend since 1975, while TFR increased in most Scandinavian
countries from the early 1980s to the early 1990s. In
Sweden, TFR rose to over 2.0 in 1992, then sharply declined
to 1.5 in 1999. In the US, where TFR had fallen to well
below replacement level in the 1970s, it subsequently rose
to replacement level by the early 1990s. And by 1995,
Southern Europe had a much lower TFR than any other region
in Europe. Finally, at the end of the 1990s, some countries
of Europe had a TFR 60% higher than in some others
(R18).
There has also been variation between nations in
sociological variables. For example, the development of
cohabitation has varied between different countries in
Europe, where by the early 1990s three groups of countries
could be distinguished:
1. “countries where cohabitation established itself
as socially accepted behaviour” for example,
Sweden;
2. “countries where cohabitation slowly emerges as a
form of living arrangement” for example Great
Britain;
3. countries “with no or undetected
cohabitation”, mainly Mediterranean countries
(R19).
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Over the last 35 years, the number of international
migrants worldwide has more than doubled. And at the start
of the 21st century, one out of every 35 persons worldwide
was an international migrant. In 2002, almost one in every
10 persons living in the more developed regions of the
world was a migrant (R20, R21). Indeed, since 1960, the
more developed regions of the world have experienced a gain
in population through net immigration from the less
developed regions, and this net gain increased over this
period (net immigration is the balance of gross immigration
and gross emigration). By the
1990–2000 period, the more developed regions were
gaining about 2.6 million persons annually through net
international migration (R22)
and this migration was
accounting for two thirds of the population growth in these
regions (R20, R21). This contribution of
international migration to population growth in the more
developed regions has increased in significance as
fertility there declined (R3).
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The growth of the world population is now slowing down,
but the total population will probably still increase
massively in the near future. We say 'probably', because
there is a real possibility of cataclysmic change(s) in the
near or fairly near future that would cause massive and
widespread increase in mortality – we think here of
possible effects of climate change, other causes of reduced
food production, epidemics and conflict.
To study future population growth, population
projections are made, based on assumptions about the causes
of population change, namely births (fertility), deaths
(mortality) and international migration; generally possible
cataclysmic events are ignored.
The following account is based on the population
projections of the United Nations Population Division
(UNPD) (R3) unless otherwise stated . The UNPD has
prepared a series of projections up to the year 2050, the
projections differing in the assumptions adopted. Seven
projections (called 'seven variants') were prepared:
“The first five variants, namely, low, medium,
high, constant–fertility and
instant–replacement–fertility, differ among
themselves exclusively in the assumptions made regarding
the future path of fertility. The sixth variant, named
constant–mortality, differs from the medium variant
only with regard to the path followed by future mortality.
The seventh variant, named zero–migration, differs
from the medium variant only with regard to the path
followed by future international migration”.
It must be recognized that projections are not the same
as estimates of actual future populations; they merely give
the population levels that would result if the assumptions
made about fertility, mortality and migration levels were
actually realized. And clearly the sixth and seventh
variants do not lead to possible actual future population
sizes since neither constant mortality nor zero migration
are actual possibilities. These two variants are simply
useful in investigating the role of mortality and migration
as determinants of population change. This qualification
not withstanding, it is generally thought that the medium
variant is the one that comes closest to what is actually
likely to happen in the future. Before we look in detail at
the results of this medium variant, it is worth noting the
large differences in the 2050 world population between the
different variant projections. Here is the 2050 world
population (millions) according to four of these
variants:
| Low |
Medium |
High |
Constant |
| 7792 |
9191 |
10756 |
11858 |
(The US Census Bureau's projection of the 2050
population was 9536 million (R23)).
The data summarized below, which covers the projection
period that ends in 1950, is based then on the medium
variant. The graphs illustrate the conclusions.
The world population is
projected to increase from 6.7 billion in 2007 to 9.2
billion in 2050. This increase of 2.5 billion is roughly
equivalent both to the combined present day populations of
China and India, and the size of the whole world population
as it was in 1950! However, population
growth will vary greatly between different world regions
and different countries.
The United Nations Population Division divides the
regions of the world into the more developed regions
(MDR) and the less developed regions (LDR). The MDR
are all regions of Europe plus Northern America,
Australia/New Zealand and Japan. Most of future population growth will take place
in the LDR, in fact in the 50 least developed
countries.
The population of the MDR as a whole is projected to
remain largely unchanged, indeed population growth will
cease in about three decades from now and then population
will begin to shrink. And if it was not for the projected
net migration from developing to developed countries
(expected to average 2.3 million persons annually) the
population would have already started to decline. In terms
of geographical regions, Europe is an extreme
example of more developed regions, sub–Saharan Africa
is the most extreme example of the less developed
regions.
We look now at countries rather than regions. As
mentioned earlier, China (1.33 billion) and India (1.17
billion) are by far the most populous countries. Thanks to
a considerable extent to the adoption of the one child
policy, the growth curve of the Chinese population
resembles that of Europe. In contrast, the population of
India is projected to continue growing beyond 2050,
although the shape of the graph shows that the growth rate
is decreasing.
Following China and India, the two next most populous
countries are the USA and Indonesia, although the present
populations are far smaller than those of China and India
(USA, 306 million, Indonesia 232 million). The populations
of both countries will continue to grow up to the end of
the projection period, but at a lower rate of growth than
the Indian population.
Population growth, Regions and countries
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Source: United Nations
Population Division. World Population Prospects: The
2006 Revision Data Online.
In the right hand graph, S.S.Africa stands for
sub–Saharan Africa
Population
Database |
Differences in fertility and mortality between
regions and countries
MDR will continue to have relatively low fertility and
infant mortality rates, with a small rise in fertility
rates and continued fall in infant mortality rates. LDR
will show a reduction from relatively high fertility and
infant mortality rates, but there is considerable variation
between regions and countries. In terms of longevity, MDR
already have high life expectancy, and this is projected to
continue to increase. In LDR life expectancy, presently
comparatively low, will increase, and the gap between MDR
and LDR will decrease slightly. The following table gives
some details on fertility and life expectancy. We include
also the African continent, as this is the continent with
the worst record for reducing fertility and increasing life
expectancy, despite the many millions of pounds/dollars
poured into the continent from the developed world, much of
this funding misappropriated or squandered by the African
countries.
| Fertility |
|
Life Expectancy |
| Area |
2005–2010 |
2045–2050 |
|
Area |
2005–2010 |
2045–2050 |
| World |
2.55 |
2.02 |
|
World |
67.2 |
75.4 |
| MDR |
1.6 |
1.79 |
|
MDR |
76.5 |
82.4 |
| LDR |
2.75 |
2.05 |
|
LDR |
65.4 |
74.3 |
| Africa |
4.67 |
2.46 |
|
Africa |
52.8 |
66.1 |
The population of the LDR already greatly exceeds the
population of MDR and most future population growth will
take place in the LDR as already mentioned, so the
projected fertility changes in the LDR are of particular
interest. In terms of countries, in 2005–2010, 81
countries in the LDR, accounting for 44 per cent of the
world population, had fertilities ranging from 2.1 to 4. By
2050, fertility rates in these countries is projected to
decrease to 2.1 or less.
The ageing of populations and the effect of this on
population growth
The populations of an increasing number of countries are
ageing rapidly, through declining fertility and increasing
longevity. The magnitude of these changes in population age
structure is shown by the fact that according to the
projections, half of the increase of the world population
between 2005 and 2050 will be caused by the rise in the
population aged 60 and above. In contrast, the number of
children (persons under the age of 15) will decline
slightly.
However, there is again large variation between regions and
countries in the extent that their populations will age.
Considering developing countries, many still have
relatively youthful populations which are expected to age
only moderately over the foreseeable future, while in the
rest of the developing countries, populations are forecast
to age rapidly (R3).
The effect of the HIV/AIDS epidemic on future global
population growth
Although this epidemic
will slow down population growth in badly affected
countries, it will not prevent future regional population
growth. Sub-Saharan Africa is the most affected region yet
it's population is projected to grow from 767 million in
2006 to 1.7 billion in 2050. However, the
epidemic has already had serious economic and social
consequences, that we mentioned in an earlier section, and
that have been extensively reported in the media, most
importantly the loss of a significant part of the working
age group populations in affected countries. If we think
just about the effects of HIV/AIDS on future food supply,
the agricultural workforce will decline between 10 percent
and 26 percent by 2020 in the 10 African countries that are
currently most severely affected by this disease according
to a study by the Food and Agriculture organization. And
another study concluded that slow growth in food production
in countries such as Kenya, Malawi, Tanzania, and Zambia,
could result in growing food insecurity by the year 2010
(R5).
The distribution of population within
countries
This sub–section is based on the United Nation's
World urbanization prospects. The 2007 revision.
The future will show a continuation of an already well
established trend – urbanization, the
movement of people from rural to urban areas. Not
surprisingly then, the urban population of the world is
continuing to grow faster than the total world
population:
“According to the 2007 Revision , the world urban
population will likely increase by 3.1 billion between 2007
and 2050, passing from 3.3 billion to 6.4 billion.
The expected rise in the
urban population surpasses that for the whole world
population over the same period (2.5 billion), implying
that urban areas are expected to absorb not only all the
population growth expected over the next four decades but
also some of the rural population, through
rural–urban migration or via the transformation of
rural settlements into urban centres. As a
result, the world rural population is projected to start
decreasing in about a decade and 0.6 billion fewer rural
inhabitants are expected in 2050 than today (a decline from
3.4 billion in 2007 to 2.8 billion in 2008)”.
Future international migration
In 2005–2010, the contribution of net migration is
projected to be more than double the contribution of
natural increase (births minus deaths) to population growth
in eight countries or areas – Belgium, Canada, Hong
Kong (China SAR), Luxembourg, Singapore, Spain, Sweden and
Switzerland. And in a further eight countries or areas, net
migration counterbalances the excess of deaths over births.
These countries or areas are: Austria, Bosnia and
Herzegovina, the Channel Islands, Greece, Italy, Portugal,
Slovakia and Slovenia (R3).
Considering the whole 2005–2050 period, the net
number of international migrants to more developed regions
is projected to be 103 million, a figure that
counterbalances the excess of deaths over births (74
million) projected over the same period.
During the same period, “in terms of annual averages,
the major net receivers of international migrants are
projected to be the United States (1.1 million annually),
Canada (200,000), Germany (150,000), Italy (139,000), the
United Kingdom (130,000), Spain (123,000) and Australia
(100,000). The countries with the highest levels of net
emigration are projected to be: China (-329,000 annually),
Mexico (-306,000), India (-241,000), Philippines
(-180,000), Pakistan (-167,000) and Indonesia
(-164,000)” (R3).
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R24. United Nations (2008). World urbanization
prospects. The 2007 revision.
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1) Key Points
| KEY
POINTS |
-
The overall
populations of the EU 27 and the EU 25 continue
to grow. With the EU 25, the population will,
according to one projection, rise from 463
million in 2009 to about 470 million around 2025
then commence to slowly decline, reaching 448
million by 2051. However, already, population has
slightly declined in a few countries during
recent years.
-
Population growth
is caused by natural increase and net
migration. International migration, not natural
increase, has in recent times been the dominant
factor determining the size, rate of change, and
composition of most European countries. Migration
is driving quite rapid population growth in some
north–western countries, slowing or
arresting decline in the South, accelerating
decline in the East.
-
Since the 1970s
the greater part of legal long–term
migration from non–European countries to
Western Europe has been family–related
(spouses and spouses to be), not migration of
workers or refugees.
-
Collectively,
member states of the present European Union (EU)
had only a small percentage of world population
in 1960. But that share has fallen considerably
since then because the overall rate of population
growth in the EU has been lower than the rate of
growth in developing countries, and these trends
are set to continue.
-
The EU population
has been ageing, through falling birth rates and
increased life expectancy. This ageing is set to
continue, causing concern as to how governments
will be able to provide adequate services for the
aged. But increasing the flow of immigrants would in
fact have only a small effect on the ageing
process unless unimaginably large yearly net
immigration took place.
- A fundamental
on–going change of the composition of the EU
population has already been underway for several
decades, in terms of an increase in the proportion
of foreign origin persons and in terms of religion.
This is bringing about a large increase in the
proportion of the total ethnic minority population
of the EU.
|
References in the text are given in the form Rx.
2) Introduction
Europe may be variously defined, but it certainly
consists of more countries than are included in the
European Union (EU). First of all there are those countries
in western Europe that are not included in the EU, most
notably, Norway and Switzerland. Then there are Eastern
European countries – Belarus, Moldova, and the
Ukraine, and many would included the western part of the
Soviet Union. And the Council of Europe, consisting of 47
countries, includes other countries, most notably Turkey,
yet most of Turkey lies outside of what most people regard
as Europe.
In this section we will mainly deal with the European
Union. We will refer to:
- the EU15 – the EU after three more countries
joined in January 1995
- the EU25 – the EU after ten more countries
joined in May 2004
- the EU27 – the EU after two more countries,
Romania and Bulgaria, joined in January 2007
The countries in the EU 15 and the countries that joined
in May 2004 are shown in the following table. We will also
refer to one other country grouping, the Euro Area (EA)
– countries that have adopted the Euro currency.
| 1995. The EU 15 |
| Germany |
France |
Italy |
| Netherlands |
Belgium |
Luxembourg |
| Denmark |
Ireland |
United Kingdom |
| Greece |
Spain |
Portugal |
| Austria |
Finland |
Sweden |
|
|
| 2004. The EU 25 |
| 10 New Member
States |
| The 'A8' |
Others |
| Czech Republic |
Lithuania |
Cyprus |
| Estonia |
Poland |
Malta |
| Hungary |
Slovakia |
|
| Latvia |
Slovenia |
|
|
Return to CONTENTS
For a long time, the population of Europe (defined in
the second table below), although increasing, has fallen as
a percentage of the world population. The same is true of
the EU27 as the following graph shows.
| The EU27's share of World
Population |
| Data |
| Year |
Proportion |
Year |
Proportion |
| 1960 |
13.29 |
1985 |
9.56 |
| 1965 |
12.56 |
1990 |
8.88 |
| 1970 |
11.76 |
1995 |
8.32 |
| 1975 |
10.97 |
2000 |
7.87 |
| 1980 |
10.27 |
2005 |
7.54 |
|
 |
| Source of data: Eurostat
yearbook 2008 |
If we now look at the growth of the European population
and compare it with the growth of countries outside Europe,
we can see why despite its growth, its proportion of world
population has been falling. Consider just China and India
– by far the most populous countries in the world.
The growth rates of these two countries have been much
greater than the growth rate of Europe, or indeed of the
USA. More widely, the growth rates of all World regions
apart from Europe (Africa, Asia, Latin America and the
Caribbean, Northern America, Oceania) have been greater
that the growth rate of Europe.
| Past Population Growth. Comparisons with the
EU |
|

|
This graph plots data for Europe and the
EU27, together with the three most populous
countries in the world: China, India and the
USA.
The massive growth of China and India
compared with Europe, means that these two
countries now completely dwarf Europe in terms
of population size. And if we consider world
regions, while Europe grew by just 86 million
1965 to 2005, all the other regions of the
world together grew by 2,147 million during the
same period. So Europe's share of world
population has fallen considerably in just 40
years.
Note. Europe is here defined as the EU27
together with Albania, Andorra, Belarus, Bosnia
and Herzegovina, Croatia, Faeroe Islands,
Iceland, Liechtenstein, the former Yugoslav
Republic of Macedonia, Republic of Moldova,
Montenegro, Norway, the Russian Federation,
Serbia, Switzerland and the Ukraine.
|
|
| Source: Eurostat yearbook 2008. |
Return to CONTENTS
4) The present
population
By the beginning of 2009, the population of the EU 27
had grown to nearly 500 million.
The countries with the largest populations in the EU 27
were (millions):
Germany, 82.0
France, 64.4
UK, 61.6
Italy, 60.0
Spain, 45.8
Poland, 38.1.
The four biggest countries (in terms of population size)
accounted for over half the EU27 population growth in
2007.
The size of various European country groupings and
individual EU 27 countries is given in the following two
tables.
| The population of the European
Union and the Euro Area (millions) 1st January
2009 |
| EU27 |
EU25 |
Euro Area (EA) |
| 499.7 |
470.6 |
328.6 |
|
| Source of data: Eurostat: Main
Demographic indicators. Total population |
| The populations of the EU
27 member states (millions) 1st January 2009 |
Austria
8.4 |
Belgium
10.8 |
Bulgaria
7.6 |
Cyprus
0.8 |
Czech Republic
10.5 |
Denmark
5.5 |
Estonia
1.3 |
Finland
5.3 |
France
64.4 |
Germany
82.0 |
Greece
11.3 |
Hungary
10.0 |
Italy
60.1 |
Ireland
4.5 |
Latvia
2.3 |
Lithuania
3.3 |
Luxembourg
0.5 |
Malta
0.4 |
Netherlands
16.5 |
Poland
38.1 |
Portugal
10.6 |
Romania
21.5 |
Slovakia
5.4 |
Slovenia
2.0 |
Spain
45.8 |
Sweden
9.3 |
United Kingdom
61.6 |
|
| Source of data:
Eurostat: Main Demographic indicators. Total
population |
Return to CONTENTS
5a). Actual population growth
The growth rates of the four main European country
groupings slowed after the mid 1960s, steadied in the
1980s, but picked up a little in the EU 27, EU 25 and EA 15
during the period 2003 to 2007:
| Population Growth,
European Union (EU) and Euroarea (EA). |
 |
 |
| Source of data: Eurostat: data base
demo_gind |
Sources of data: Eurostat: data base
demo_gind, and US Census Bureau |
Most of the overall growth in the EU 27 group of
countries during the last decade was caused by population
increase in five countries: Ireland, Spain, France, Italy
and the United Kingdom (UK) (R1).
(5b).The components of population growth –
natural increase and net migration
Population growth is generally primarily caused by
natural increase, that is, the excess of births over
deaths. But in any particular region, migration will cause
population growth when the amount of immigration exceeds
the amount of emigration. The following diagram summarises
the causal components of population growth.
 |
Population
change, increase (growth) or decrease, depends
on two things, first what is termed natural
change and second, net migration. If
births exceed deaths, then natural change is positive
and we speak of natural increase. If gross
immigration exceeds gross emigration, migration is
positive, that is we have net immigration. In
the EU, births have exceeded deaths, and gross
immigration exceeded gross emigration. Consequently the
population of the EU has been increasing for two
reasons, natural increase and net immigration. |
The situation in Europe is
succinctly stated by Coleman “International migration
is now the dominant factor determining the size, rate of
change, and composition of most European countries.
Migration is driving quite rapid population growth in some
north–western countries, slowing or arresting decline
in the South, accelerating decline in the
East” (R2).
If we consider the period 1960 to the present for the
EU27, we find that annual births have decreased
progressively since the mid–1960s (although there has
been a slight increase this century). Deaths increased
significantly during the first half of this period but the
increase then tailed off and this century it has fluctuated
without an overall increase. Consequently taking the whole
period, the gap between births and deaths has decreased
considerably, in other words, natural increase has
decreased, although with a slight increase this century.
On the other hand,
net migration in the EU27 has
increased considerably since the mid–1980s and since
1992 it has been the main component of population
growth (R3). The fall in net migration in 2008 was
probably caused by the recession; this fits with the global
migration picture: According to the Migration Policy
Institute the recession has decreased the movement of
economic migrants to the major immigrant–receiving
countries of the world while immigrants in these receiving
regions are mainly staying in their adopted countries
rather than returning home, despite high unemployment and
lack of jobs in these receiving regions (R4).
The following two graphs summarise the position.
| EU27. Components of
Population Growth |
 |
 |
| Source of data:
Eurostat: data base demo_gind |
One effect of recent immigration has been that several
European countries would by now have had a falling
population for many years in the absence of this recent
inflow of immigrants – Germany Italy and Spain from
1986, 1993 and 1997 respectively (more recently, the
population in Germany and a few other countries actually
started to fall from 2006 onwards – R5). It is also
worth noting that immigrants boost population growth not
only by the size of the net inflow. They also boost the
population because immigrants themselves reproduce and are
on average younger than the host population. Births to
foreign and foreign born nationals are a significant
portion of total births – in the late 1990s, such
births were particularly high in Luxembourg (48 per cent of
all births) and between 10 and 13% of all births in the
UK, France and Germany (R6).
Considering Fertility rates, the average
fertility rate in Europe fell steadily since the mid 1960s,
falling below replacement level (roughly 2.1) in the mid
1970s and reaching roughly 1.4 by the end of the recent
century. Europe was here defined as the EU27 together with
Albania, Andorra, Belarus, Bosnia and Herzegovina, Croatia,
Faeroe Islands, Iceland, Liechstenstein, the former
Yugoslav Republic of Macedonia, Republic of Moldova,
Montenegro, Norway and the Russian Federation, Serbia,
Switzerland and the Ukraine (R7). Here are some examples of
total fertility rates in 1995. UK, 1.7; Norway, 1.9;
Germany, 1.2; Spain, 1.2; Russia, 1.3 (R8). Presently, in
terms of regions, fertility rates are lowest in eastern and
southern Europe (R9). However, during this century, many
European countries have seen a slight rise in fertility
rate, although in no country other than France has this
increase taken the fertility rate close to the replacement
level of 2.1 (R10).
These fertility rates being so low, why is it that
natural increase, although declining, has continued to
exist? The answer lies primarily in population
momentum:
The number of births in a population does not just depend
on Total Fertility Rate, TFR (the average number of births
per woman) but on the number of women of child bearing age
in the population. If two similarly sized populations A and
B had the same TFR but A had a greater number of women in
the child bearing ages, A will produce more children than
B. Now in 1965 Europe was at the peak of the post–war
baby boom and the adults produced from this baby boom
continued to have a big influence on demographic change
until recently.
Return to CONTENTS
(6a). Change in age structure
The age structure of the EU 25 population has changed
considerably since 1965. In 1965 it was the younger age
groups that dominated the age structure picture, with a
gradual and fairly regular reduction in size of age groups
from the 0–4 age group to the 95+ age group. So
the largest age group was the 0–4 year age group. The
population aged 65 and above was then much smaller than the
pre–working age population (usually taken to be the
0–14 age groups, but also true for the 0–19 age
groups).
Now the situation is very different. Birth rates have
been falling and life expectancy increasing, so the
population has been ageing. The proportion of the
population aged 65 and above in both the present EU 25
group of countries and the present EU27 countries has
increased from a little under 14 per cent in 1990 to around
17 per cent in 2007 (R11).
In 2007, the largest age groups were the 35 to 39 and 40
to 44 age groups, closely followed by neighbouring age
groups so there was a bulge in the 'population pyramid',
with a comparatively large working age population. As these
working age persons move towards retirement, the proportion
of older people in the EU will continue to increase. This
has caused fears about the ability of the working age
population to provide the health services required by the
elderly population in the future. These fears are
strengthened by consideration of the changes in total
fertility rate (TFR) that we have just described. We return
to the ageing of the population in section 7c.
It is conventional in helping to quantify the support
needed for the elderly population, and also the support for
the population of young persons, to construct support
ratios.
The young age dependency ratio is usually defined
as the ratio of the number of persons aged 0–14 to
the number of persons aged 15–64 expressed as a
percentage. The old age dependency ratio as the
number of persons aged 65 and over to the number of persons
aged 15–64 expressed as a percentage. The total
dependency ratio combines these two indicators.
Strictly speaking these ratios are potential
support ratios since not all working age persons are
actually working. Here are the ratios in past times.
| Dependency Ratios for the EU25 |
|
|
| Source. Eurostat Data set
demo_pjanind |
(6b). Changes in the Composition of European
populations in terms of the number of foreigners and
different ethnic groups, and in terms of the extent that
immigration has been labour need related.
In the EU 27 in 2006, just under 6% of the
population was composed of foreigners (that is
non–nationals, from other EU states and from outside
the EU). The proportion ranged from 39.5% of the total
population in Luxembourg, to less than 1% in Slovakia,
Bulgaria and Romania. There was a sex difference – in
the whole EU male non–nationals made up 5.9% of
the total population, compared with 5.3% with women.
“Generally the majority of foreigners that have
settled in most of the Member States are from other (often
neighbouring) European countries” (R12).
In the EU15 the foreign population increased from 4.19
to 5.33% of the total population between 1990 and 2000.
Between 1997 and 2001, most member states experienced
steady increases in the inflow of foreign nationals, with
some countries experiencing massive increases. Thus with
Italy, the inflow of foreigners more than doubled between
1998 and 1999, while with Spain, the inflow more than
tripled between 1999 and 2000. Around 2000 there were large
differences between states in the percentage of foreigners
in the population. Roughly a third of all foreigners were
citizens of another EU member state, two–thirds
coming from outside the EU15. If we look at those countries
that have received the most foreign nationals, the largest
foreigner groups were Turkish nationals (ethnic Turks and
Kurds). Roughly three million Turkish citizens were living
in one or other of the EU 15 member states. The second
largest group were citizens of the former Yugoslavia
– mainly Croats, Serbs, Bosnian Muslims and ethnic
Albanians. The third largest group was Moroccans, the
fourth, Algerians (R6).
The increase in non–nationals and their
descendants from the middle of the recent century onwards
has created multicultural societies. And in terms of
ethnicity and religion as distinct from nationality there
has been a large growth of non–Western ethnic groups
(such as Blacks and Asians) and religious groups
(especially Islam). In England, the country with probably
the best information available, it has been estimated that
the total of all non–White ethnic groups was already
over 10% of the national population in 2005 (R13,
R14.).
What is the composition of immigrant streams in terms of
labour and non–labour migration? Prior to the 1970s
most migration into developed countries was labour
migration (male guest–workers and others). But in
recent decades, up to three–quarters of net
immigration flows have not been labour related, rather they
have been of dependents including spouses, students and
asylum seekers. Amongst spouses, new spouses through
arranged marriages have tended to predominate (R2, R15).
And since the 1970s the greater part of legal
long–term migration from non–European countries
to Western Europe has been family–related (R15).
Now the effect of immigration on total population
increase depends of course on the extent that immigrants
remain in their host countries. And it has been found that
with the UK, immigration from the Caribbean Commonwealth
and the Indian subcontinent (where income levels are lower
than in the UK), is more permanent than immigration from
predominantly White population countries, European Union,
Australia, New Zealand, Canada and the USA (where income
levels are more similar to those in the UK) (R16). This
clearly promotes changes in national ethnic group
composition.
Return to CONTENTS
7a). The global context
As we have already seen, the global world population has
grown massively in recent decades. And it is projected to
continue to grow for some decades to come. But most of the
growth will take place in the less developed regions (LDR)
of the world, while population growth in the more developed
regions (MDR), including Europe as a whole, will flatten
out. The graph below summarises the population growth
situation.
| Population Growth – World, More
Developed Regions (MDR) and Less Developed Regions
(LDR) |
| World Population
Growth |
| Year |
World |
MDR |
LDR |
| 1950 |
2529 |
812 |
1717 |
| 1975 |
4061 |
1047 |
3014 |
| 2009 |
6829 |
1233 |
5596 |
| 2050 |
9150 |
1275 |
7875 |
|
 |
 |
| Source of data: United
Nations: World Population Prospects. The 2008
revision. |
Narrowing our focus to Europe as a whole, around the end
of the recent millennium, Europe achieved its biggest ever
share of the World population. But as we saw earlier,
Europe's share of world population is falling, and it is
projected to fall from about twenty per cent now to about 7
per cent by the end of the present century. This is
virtually inevitable (R17). However, if we consider
absolute numbers rather than percentages, we can see that
there is a large variation between European regions and
countries in their contribution to future population change
in Europe and hence the EU's proportion of total world
population growth. Looking at the period to 2050, decline
is likely to be greatest in eastern Europe, followed by
southern Europe (R17). Variation between individual
countries is well illustrated by France and Germany. In
France there is likely to be a considerable increase, in
Germany a considerable drop in population (R5).
(7b). EU Population Projections
To investigate how populations may change size in the
future, projections are made to cover a given time period.
For such projections assumptions are first made about the
principle factors affecting population size change, namely
fertility (births), mortality (deaths, life expectancy) and
migration (immigration and emigration). Assumptions may
also be made about other factors, sometimes to investigate
a specific hypothesis. Each projection is termed a
'scenario'.
The European Union Eurostat has produced projections
('Trend Series') of future population size change for the
EU 25 and the EU 15.
The trend series consists of a number of variant scenarios.
These scenarios do not take into account future measures
(such as new laws governing migration) that might affect
population change. The chief scenarios are the 'baseline',
the 'high population' and the 'low population' scenarios.
Details of the assumptions and methodology used to produce
the various scenarios are given in R18.
We give here a summary of the assumptions made for all
seven scenarios, based on Table 6 in this reference.
| |
|
Total Fertility Rate |
Life Expectancy |
Net Migration |
| Baseline |
BL |
Base |
Base |
Base |
| High Population |
HP |
High |
High |
High |
| Low Population |
LP |
Low |
Low |
Low |
| Younger Age Profile Population |
YP |
High |
Low |
High |
| Older Age Profile Population |
OP |
Low |
High |
Low |
| High fertility |
HF |
High |
Base |
Base |
| Zero Migration |
ZM |
Base |
Base |
Zero |
Of the seven scenarios, five show
the EU population declining within the first half of the
present century. And the EU's overall conclusion was that
“the EU Population is likely to
decline”… (R18).
In the following graphs we summarise the results of the
three main scenarios and the zero migration scenario. The
zero migration scenario reflects the fact that at present,
net immigration is the main driver of continued population
growth in the EU (as it will increasingly come to be in
future). But the EU concludes that continued net
immigration will not be sufficient to prevent the EU
population decreasing (R18).
| Population Projections
for the EU 25 and the EU 15 |
 |
 |
| Four projections: low
variant, baseline variant , high variant, no migration
variant |
| Source: Eurostat data
sets: proj_tlp_pop; proj_tbp_pop; proj_thp_pop;
proj_tzm_pop |
The European Communities Eurostat has also prepared what
they call the 'convergence scenario' projection for the
EU27. The assumption is here made that
“socio–economic and cultural differences
between the Member States of the European Union (EU),
Norway and Switzerland will fade out in the very long run
(for example, next century)” (R19).
The following two graphs show the scenario for the EU27
as a whole, and the four countries with the largest
national populations.
| Convergence Scenario,
EU27 and selected countries |
 |
 |
| Source: Eurostat data
set: proj_08c2150p |
As the graph shows, according to
this scenario, the EU27 population will continue to
increase, but at an ever decreasing rate, up to 2035, after
which it will begin to fall, and soon fall quite rapidly.
And at the end of the projection period, its proportion of
the world population will be hardly any different from the
roughly 7.4% in 2008. This scenario reflects the
gradual continued reduction in natural increase, indeed
from 2015, natural change is projected to be negative, as
deaths are projected to outnumber births (R20).
There are however, important differences between
countries, as already mentioned. The German population will
soon begin to fall. Italy's population will also fall
during the projection period, but only after continued
growth until the middle of the period. In contrast, the
population of France, and even more so that of the UK, will
continue to rise massively throughout the projection
period.
Projections are not forecasts; nevertheless, they will
be used by various parties to help them plan for the
future. Yet projections become less and less reliable, the
further into the future they are made, so beyond about 20
years they are very unreliable (R21).
Uncertainties about how the EU population is actually
likely to change.
There are various causes of uncertainty about the future
changes in the sizes of national populations, and hence of
the European population. In general terms, statistics on
present national populations and how these populations have
already been changing - the basis from which projections
must be made - are inadequate. And of course we can only
conjecture how changes in EU and national population
policies may change in the future and so affect the drivers
of population change, namely natural increase and
migration. We also suspect that 'political correctness'
will tend to bias statistical analysis. Such bias, we
think, may be partly responsible for the disparity between
different projections that we deal with in the first of the
following more specific considerations:
(1)National Population Projections
There are some national population projections that differ
from the Eurostat projections: Coleman (2007)
“…Eurostat, like the United Nations, has
tended to underestimate immigration and does not
sufficiently recognise diversity in birth rates”, so
for comparison he gives the national projections of France
and the UK – after Germany currently the countries in
the EU with the largest populations – and he notes
that these projections “envisage considerably higher
totals” than the Eurostat projections (R22).
(2) Fertility
Immigration by persons from high fertility ethnic groups
will obviously help to further the growth of populations.
But what happens to the fertility of these groups in the
second, third and beyond offspring generations? It is
generally accepted that the fertility of high fertility
groups will fairly rapidly converge to the fertility of the
host population. And with the UK there is certainly
evidence that this has happened for some groups in the
past, most notably with the Indian national group. However,
while there may be convergence, there are features of
society in the countries of origin which, carried over into
the UK, may at least slow convergence for particular
groups. Thus in the 1992 book by Coleman and Salt (R23) we
read (pages 512–513):
“The limited role outside the home prescribed for
women by Islam may sustain higher than average fertility
under most economic circumstances” Also “Asian
extended family arrangements and the prevalence of family
enterprises may make high fertility seem less
disadvantageous than among West Indians”.
There are other reasons to doubt that fertility in some
ethnic minority populations in Europe, especially Muslim
groups, will decrease appreciably in coming years. Coleman
in a 2006 paper notes “… fertility differences
may persist if immigrant groups do not achieve
socioeconomic equality, if they retain strong attachment to
religious or other elements of foreign culture, and if they
continue to be numerically and culturally reinforced by
large–scale migration, especially through importing
unacculturated spouses from high–fertility
countries” (R24 page 410). We will see later (section
7d) that marriage–related migration is a major
component of immigration in Europe.
And as far as religion is concerned we noted in the UK
section of present page (section 6e) that “Eric
Kaufmann of Birkbeck College, University of London has been
studying secularisation in Europe. He notes that religious
people tend to have a higher fertility than
non–religious people; they “consistently choose
to have more children, regardless of education, income,
nation, denomination or generation”. And in an
analysis of data from ten west European countries for the
period 1981–2004, Kaufmann found that next to age and
marital status, it was a woman's
’religiosity’ (it would be better we think to
use the less judgemental term ’strength of religious
affiliation’) that was the strongest predictor of the
number of offspring she produced, and he states that many
other studies have reached the same conclusion. He also
argues that immigrants into Europe tend to be more
religious than the host population and he states that
several other studies have drawn this conclusion. Moreover,
there seems to be little or no decline in
’religiosity’ between immigrants and their
first and second generation descendants, especially with
Muslims”.
The possibility of Turkey joining the EU creates further
uncertainty. Turkey has some dissimilar demographic
characteristics to the EU. Most importantly, the fertility
rate in Turkey is higher than the overall fertility rate in
the EU. So the entry of Turkey into the EU would have a
significant effect on EU fertility rate.
Finally, government policies will influence fertility
change. There has been a massive promotion of
multiculturalism in Europe. this promotion makes it easier
for immigrant groups to live in ethnic enclaves, which
minimises pressures to change reproductive behaviour
(R15).
(3) Possible Population competition, driving up
fertility where their are rival ethnic or religious groups
in the population, is another source of uncertainty.
Wolfgang Lutz, leader of the World Population Program of
the International Institute for Applied Systems Analysis in
Austria, said about this competition:
“Fears related to the ethnic composition of the
population and ingroup–outgroup feelings can be
powerful emotional forces that may directly influence
individual reproductive behavior”. He cites examples
of areas where rivalry between groups within a population
seems associated with fertility levels higher than one
would expect from socioeconomic standing: Israel, Northern
Ireland and the Baltic States. But he also points out that
there are counterexamples where
“ethnic–linguistic rivalry is carried out by
means other than fertility levels”, and he cites
francophone Canadians, non–Hispanic Californians or
Germans in cities where there are many Turks (R25 page
285). This view about Turks not withstanding, we think it
is possible, given current world tensions, that the
imperative for jihad may spread more widely through the
Muslim communities in Europe, supported by networks
involving Muslim countries elsewhere in the world, leading
to the development of population competition with host
communities. And we note that Coleman (R15) based on the
work of B.J. Siegel, stated that “minorities, usually
those who feel themselves to be under threat or which have
distinctive and refractory fundamentalist beliefs at
variance with majority norms, may respond to the threat of
dilution and extinction by maximising their demographic
potential for survival”.
There is no doubt that amongst Muslim groups in Europe
there are sizeable numbers of activists who see their
mission to be that of jihad, of conquering the country for
Islam (jihad in its 'external' aspect rather than the
'internal' aspect, the daily inner struggle to be a better
person). And there can equally be no doubt that many
Muslims have felt threatened by or discriminated against
not only by Whites but by non–Muslim ethnic minority
groups. This is just the sort of situation where
competitive breeding might develop. And we note that
Coleman and Salt (R23 page 513) wrote: “Where
minorities feel threatened by absorption or assimilation, a
'minority effect' may make acceptance of family planning
difficult and retard convergence in fertility”. And
in a 2006 paper we have referred to earlier, he writes:
“Increased inflows of unacculturated populations may
conserve or even drive up fertility rates, as among African
populations in Sweden and Britain” (R24, page
410).
Parsons in his monumental book on population competition
gives specific examples, one very good one from Europe
being competition in the former Yugoslavia (this example
being based on work by Kapor–Stanulovic):
“…Yugoslavia was the most heterogeneous
country in Europe and population competition and
competitive breeding were well launched before the series
of civil wars erupted and it broke up…This seemed to
be operating especially powerfully in the province of
Kosovo in the south (neighbouring Albania) where the
proportion of ethnic Albanians is expanding rapidly because
of their substantially greater birthrate. In 1989 the total
fertility rate here was 4.12 (compared with 1.74 in
Croatia)…The ethnic Albanians demanded more power in
accordance with their numbers…” (R26).
(4) Migration.Turning to migration, we note
again that most of the future projected massive growth in
the world population will take place in
'developing' countries, including the poor countries of the
world. World food supplies are already stretched to the
limit, and climate change is likely, on balance, to have an
adverse effect on food production. And already, some major
regions of the world are experiencing severe reduction in
water reserves needed for agriculture. So the 'push' factor
for migration from these countries is likely to be stronger
in the future. We think it is also likely that conflict,
already widespread in some parts of the world, is likely to
increase as a consequence of limitations on food
production, and this will enhance the movement of peoples
trying to escape from the difficult conditions in their
countries. So the pressure to admit more migrants into
Europe is likely to increase. At the same time, EU
migration policy is still evolving, and the ability or even
the desire of the EU to regulate immigration is open to
question.
We noted in section 6b that the effect of immigration on
total population increase depends on the extent that
immigrants remain in their host countries. And it has been
found that with the UK, immigration from countries where
income levels are lower than in the UK is more permanent
than immigration from countries where income levels are
more similar to those in the UK. Now not only in the UK,
but in other European countries and in the USA (with
migration from Mexico) these immigrant communities are
connected by extensive networks with communities in the
countries of origin, resulting in a continuation and
enlargement of immigration to the host countries by a
process described as 'cumulative causation' by Massey and
Zenteno (R27): “Once it has been experienced,
therefore, international migration tends to be repeated,
becoming a familiar resource used again and again as new
needs arise and motivations change”. And the authors
note that neglect of this cumulative causation has led the
USA to greatly under–estimate the size of the Mexican
population in the USA. We speculate that this neglect of
cumulative causation might similarly have led to an
under–estimation of the future growth of immigrant
populations in Europe and hence an under–estimation
of future growth of European national populations, which
links with point (1) above.
Conclusion. Overall, we remain rather sceptical
about the conclusion that the European population will
decline this century, although if, as is very possible,
economic conditions in Europe get considerably worse, this
would reduce the attractiveness of Europe as a destination
for migrants.
(7c). Projected ageing of European societies.
The European population will continue to age. And as
mentioned earlier, this is of great concern to European
governments, as it implies a large increase in spending on
the services required to sustain the elderly population.
This ageing is projected to take place in all members of
the EU27, and two important north and central European
Countries outside the EU, Norway and Switzerland.
Three ways to show ageing are first, by looking at the
change in the median (not mean) age. This is projected to
rise in all EU27 countries together with Norway and
Switzerland. For the EU27 as a whole, the median age is
projected to rise from 40.4 years in 2008 to 47.9 years in
2060. There is however considerable variation in the extent
of this rise between countries. At one extreme are Poland
and Slovakia when the increase is over 15 years by 2060. In
contrast it is less than 5 years in Belgium, Denmark,
Finland, France, Luxembourg, Sweden and the UK (R28).
The second way comes from looking at the changing age
structure of the population. The percentage share of the
total population for people aged 65 and over is projected
to rise in all EU 27 countries plus Norway and Switzerland,
and in only 6 countries is the projected share less than 10
percentage points. Further, considering the older old
population, that is the population aged 80 and over, that
population is projected to increase in all EU27 countries,
not only in terms of percentage points but also in absolute
numbers (R28).
The third way is to look at dependency ratios (defined
above in section 6a). The projected dependency ratios for
the EU27 are shown in the following histograms.
While the dependency ratio for both
young as well as old persons is projected to increase, a
glance at the scales on the histograms shows that the young
age dependency ratio is much smaller than the old age
dependency ratio in the later part of the projection
period, its increase since present times being relatively
small.
| EU27 Dependency Ratios |
|
|
| Source: Eurostat: Statistics in
focus. 72/2008 |
We saw earlier that immigrant populations can in theory
help to slow down population ageing because of their
slightly younger age structure. But how big is this effect
likely to be in the future? Lutz and Scherbov investigated
a number of scenarios that combined different assumptions
in order to produce fertility and immigration rates. They
concluded that even quite extreme combinations of these
assumptions would only affect the ageing process quite
slowly (R29, page 199). And Coleman in his 2001 Royal
Society paper noted that various studies already made point
to the conclusion that to maintain the then existing old
age dependency ratio would require unimaginably high levels
of immigration: With the EU15 a net immigration of 4.5
million per year by 2007 would be needed, and seven million
per year by 2024! And it must be remembered that immigrants
themselves age and come to require support (R30).
(7d). Projected change in the number of foreigners
and ethnic composition
As we point out in the UK section of the present page,
projections of ethnic change, very limited in scope, have
been produced for England and Wales for the period 2001 to
2051. These show the 'White British and Irish' groups
together decreasing from 88.7 to 63.9 per cent, the 'White
non–British' group increasing from 2.7 to 11.6 per
cent, and the 'non–White' ethnic minorities
increasing from 8.7 to a massive 24.5 per cent! (this
points to a massive ethnic transformation of England and
Wales) (R24).
Unfortunately, projections of ethnic change are not a
common feature in other European countries. As Coleman
observed: “The criteria of
ethnicity—self–ascribed but potentially
perpetual — employed in the English–speaking
world have no counterpart in Europe outside the UK. But
concerns about integration have moved a number of European
statistical offices to define as of 'foreign origin' or of
'foreign background' those belonging to the first or second
generation of immigrant origin” (R31).
So what is available for some countries are projections
of persons of 'foreign origin' or 'foreign background'.
Here, for England and Wales, Denmark, Germany, Netherlands,
Norway, Sweden, Austria, the percentage foreign will rise
in the period to 2050, and the rise is considerable to
between 15 percent and over 30 per cent (R2, R24, and R32).
For example, in Germany (2000 to 2050), the projected rise
is from roughly 10 to 24 per cent, in Sweden (2004 to 2050)
roughly 16 to 32 per cent. Further, if the percent foreign
is divided into the categories per cent Western and per
cent non–Western, in most countries the percentage
increase is much greater in the latter than in the former.
And Coleman points out that in all the continental
projections the assumption is made that all or most of
third generation immigrants, that is grandchildren of
immigrants, become assimilated and are actually counted as
native, not foreign origin. He writes “that approach
tends to produce linear, not exponential, growth in the
proportion of the population of foreign origin” (R24
page 415, see also R31 page 117). Furthermore, the
projections ignore one significant component of
populations, that is, persons of 'mixed origin' (R24).
It is clear then, that most likely
there will be a large increase in the total ethnic minority
population proportion of the total EU
population.
Finally, it is worth noting a general point about
immigration and fertility rates that Professor David
Coleman (Oxford) drew attention to, and which we can apply
to the ethnic minority populations of Europe:
“In the long term, the
minority will become the majority in a country if there
remains even one region in which the proportion of the
minority continues to increase through immigration and/or
higher birth rates (Steinmann &
Jäger 1997)” (R30 page 587). And
“Any country with
sub–replacement fertility and with constant levels of
immigration must eventually acquire a population of
predominantly, eventually entirely, immigrant
origin”. (R2 page 469).
Variation between different ethnic minority
groups.
So far in this sub–section we have treated
minority ethnic groups or foreigners, as if they were
homogeneous entities. But demographic characteristics vary
between ethnic and religious groups, and this variation
will affect changes in the relative size of different
ethnic minority groups.
Consider, first, marriages between ethnic minorities and
the numerically dominant white host population, and
marriages between different ethnic minority groups, in
other words, 'mixed–marriages' or 'inter–ethnic
unions'. When such marriages take place, this can result in
diminution or increase in the rate of size change of the
groups concerned, depending on the extent the offspring
identify themselves with one or the other of the ethnic
groups involved in the union. Alternatively offspring of
such unions may self–identify as a new
mixed–origin group. Such new groups or small existing
ethnic minority groups may become assimilated into a larger
group. In the past inter–ethnic unions have been
almost entirely with white partners (R15).
As far as Great Britain is concerned, West Indians,
Africans, Arabs, Chinese and immigrants from some European
countries are most inclined to take part in mixed
marriages. Apart from the Chinese, few Asians are in mixed
unions. It is interesting and surprising that Indians seem
to show the same low propensity to marry out as the Muslim
and lower status Pakistanis and Bangladeshis despite the
fact that many Indians are of high status and many are
non–Muslims. Studies of the population of the
Netherlands show that in general, Turks and Moroccans, like
the Pakistanis and Bangladeshis in Great Britain, have a
similar low level of marrying out from their own group. And
finally, we note that as far as Muslim immigrants are
concerned, which, in the case of the UK are predominantly
people from Pakistan and Bangladesh, “Islam forbids
women to marry out at all on pain of sentence of death (on
the assumption that a woman takes the religion of her
husband and thereby becomes apostate…” (R15
page 23).
Consider second, the propensity to take spouses from the
home country, which we mentioned earlier in section 7b.
This in our view will tend to lead to retention of home
country fertility patterns. There are two categories of
such unions: marriage to re–unify existing families
(this is usually men bringing in wives), termed 'family
re–constitution migration', and migration for the
purpose of creating new marriages (this is increasingly
husbands as well as wives) termed 'family–formation
migration'. Together we may call these categories 'marriage
related migration'. Family–formation marriage has
begun to replace family re–constitution migration as
a major migration stream. But taking the two categories
together, “since the
1970s the greater part of legal long–term migration
from non–European countries to Western Europe has
been family–related…”,
the proportion varying considerably between countries (R15,
page 11, based on an OECD report).
Now the practice of arranged marriages varies with
country of origin and religion. This practice is mostly
with Asians and North Africans. Further, in the Netherlands
and Belgium, there is evidence that marital choice with
second generation Muslim immigrants may be the same, or
even more 'traditional' than was the case with first
generation immigrants: the practice of importing brides is
actually increasing, and Turkish and Moroccan females are
now more likely to import husbands from their home
countries. Not only that, but for Turkish men, Turkish
girls who have been brought up in the West are considered
to be “too prone to be economically active”
(R15 page 21). And in the UK it seems that among some Asian
minorities from the Indian sub–continent, there seems
to be a “constant preference for arranged marriage,
despite considerable socio–economic progress
…” (R15 page 21).
Finally, we look at religion and the rise of religious
populations in European countries. With continued
immigration, and maintenance of strong religious belief,
and with a youthful age structure, the active Muslim
population is set to increase in Great Britain from 900,000
in 2008 to 2.7 million in 2050, Hindus from 360,000 to
860,000 (R2, based on the work of Brierley). We contrast
this with projections of the change in the total Great
Britain population over the same period (roughly 60 to 75
million), and the European population (EU27, EU 25, EU15)
where the population is likely to be smaller in 2050 than
now, except for the EU 27 where population, continuing to
rise, may change from 495 to 515 million during this time
period. These are far smaller rates of growth. Projection
data from Austria suggest that the Muslim population is set
to increase from 4 per cent of the total population to
between 14 and 26 per cent in 2051 (R2, based on work by
Brierley and Goujon et al). As Coleman (R2 page 471)
concludes:
“ … unless
migration flows alter, or are changed by immigration
policy, an increasingly obvious and irreversible transition
of the origins of Western European populations will be well
under way after
mid–century”.
References
1. Eurostat (2009). Eurostat Yearbook 2009. European
Commission.
2. Coleman, D. (2008). The demographic effects of
international migration in Europe. Oxford Review of
Economic Policy 24, 3: 452–476.
3. Eurostat. (2007). Statistics in focus. 41/2007. First
demographic estimates for 2006. European Commission.
4. Migration Policy Institute (2009). Migration and the
global recession. A report for the BBC World Service.
5. Eurostat. (2009). Statistics. Main tables. Site3
– TGM. European Commission.
6. Pflegerl, J. (2006). Migration, migrants and their
families in the EU15 member states. Chapter 9 (pages
191–221) in The New Generations of Europeans.
Demography and families in the enlarged European Union.
Eds. Lutz, W. et al. International Institute for Applied
Systems Analysis. Earthscan.
7. Eurostat (2008). Europe in figures. Eurostat Yearbook
2008. European Commission.
8. US Census Bureau (2008). International Data Base.
9. Lutz, W. & Wilson, C. (2006). Chapter 1.
Introduction (pages 3–17) in The New Generations of
Europeans. Demography and families in the enlarged European
Union. Eds. Lutz, W. et al. Earthscan.
10. European Yearbook 2009 table 3.11. European
Commission.
11. Eurostat (2008). Data base: demo_pjanind. European
Commission.
12. Eurostat. (2008). Statistical Portrait of the
European Union. European Commission.
13. Office of National Statistics (ONS). (2006 ).
Experimental Statistics. Population estimates by ethnic
group 2001–2005. ONS.
14. Dunnell, K. (2007). The changing demographic picture
of the UK: National Statistician's annual article on the
population. Population Trends 130: 9–21.ONS
15. Coleman, D.(2004). Partner choice and the growth of
ethnic minority populations. Bevolking en Gezin 33, 3:
7–34.
16. Rendall, M.S. and Ball, D.J. (2004). Immigration,
emigration and the ageing of the overseas–born
population in the United Kingdom. Population Trends 116:
18–27. ONS.
17. Coleman, D. (2007). The shape of things to come:
world population to 2050. In Empire and the future world
order, eds. Almqvist, K & Thomas, I., Axel and Margaret
Ax:son Johnson Foundation, Sweden.
18. Eurostat (2006). Statistics in focus. 3/2006.
Long–term population projections at national level.
European Commission.
19. Eurostat (2009). EUROPOP2008 – Convergence
scenario, national level. Explanatory Texts (metadata).
20. Eurostat (2008). News release 119/2008, 26th
August 2008. European Commission.
21. Keyfitz, N. (1981). The limits of population
forecasting. Population and Development Review 7, 4:
579–593.
22. Coleman, D. (2007). Demographic diversity and the
ethnic consequences of immigration – key issues that
the Commission's report left out. Vienna Yearbook of
Population Research: 5–12.
23. Coleman, D. and Salt, J. (1992). The British
Population. Patterns, trends, and processes. Oxford
University Press.
24. Coleman, D. (2006). Immigration and ethnic change in
low–fertility countries: a third demographic
transition. Population and Development Review 32, 3:
401–446.
25. Lutz, W. (1994). Future fertility and mortality in
industrialized countries. In The future population of the
world. What can we assume today? International Institute
for Applied Systems Analysis. Earthscan.
26. Parsons, J. (1998). Human population competition. A
study of the pursuit of power through numbers. Edwin Mellen
Press, Lampeter, Wales. More recently the fourth edition
has been available as Population competition for security
or attack. A study of the perilous pursuit of power through
weight of numbers. Population Policy Press, Llantrisant,
Pontyclun, RCT.
27. Massey, D.S. and Zenteno, R.M. (1999). The dynamics
of mass migration. Proceedings of the National Academy of
Sciences, USA 96: 5328–5335.
28. Eurostat (2008). Statistics in focus. 72/2008.
Ageing characterises the demographic perspectives of the
European societies. European Commission.
29. Lutz, W. and Scherbov, S. (1999). First
probabilistic population projections for the European
Union. In: W. Lutz (ed). Compendium of Family Studies in
Austria. Austrian Institute for Family Studies.
30. Coleman, D. A. (2001). Replacement migration, or why
everyone is going to have to live in Korea: a fable for our
times from the United Nations. Philosophical Transactions:
Biological Sciences (The Royal Society) volume 357 number
1420 (2002).
31. Coleman, D. (2008). New Europe, new diversity.
Population Studies 62, 1: 113–120.
32. Coleman, D. and Scherbov, S. (2005). Immigration and
ethnic change in low–fertility countries –
towards a new demographic transition? Paper presented to
the Population Association of America Annual Meeting,
Philadelphia March 31st – April 2nd 2005, Session 98,
1st April.
Return to CONTENTS
Acknowledgements
We thank EU Statistics UK at ONS for clarifying certain
EU statistics information.
Return to CONTENTS
This is the revised version of the
United Kingdom section of the page that was posted up at
the end of April 2010. Important statistical reports that
appear after this date but before the next revision will be
listed at the end of the Appendix; our News page provides
some information from the reports.
| KEY
POINTS |
- All aspects of
population statistics in the United Kingdom are in
an unsatisfactory state. Recent censuses were
unsatisfactory. Immigration flow statistics are
estimated on small voluntary samples of intended
immigration and emigration, of incomplete coverage
and high sampling error and the number of illegal
immigrants is anyone's guess.
- The population
of the UK is projected to rise from 61.4 million in
2008 to 70.9 million in 2031, an increase of 9.5
million — more than the present population
size of London, the most populous UK city. But
between 2008 and 2081, the population is projected
to rise to 85.1 million, an increase from 2008 of
23.7 million — roughly three times the
present London population size.
- The main driver
of this population growth will be international
migration.
- After many
centuries of relatively stable population
composition, in the recent half century a massive
racial, ethnic and cultural transformation has got
underway.
- The population
continues to age, and the option of adequately
maintaining or increasing the support for the
elderly population by increased immigration is
completely unrealistic. Keeping the support even at
the 2000 level would require an unimaginably large
number of immigrants.
|
The
following two graphs and table get to the heart of the
matter.
|

|
|
England and Wales. Estimated Total
Fertility Rates (TFR's): country of birth of
mother, 2001
|
| United Kingdom |
1.6 |
East Africa |
1.6 |
| India |
2.3 |
Rest of Africa |
2.0 |
| Pakistan |
4.7 |
Remainder of New
Commonwealth |
2.2 |
| Bangladesh |
3.9 |
Rest of the World |
1.8 |
|
|

|
| Sources. Graphs:
Population: ONS (2009) Population Trends 138 Table 1.2.
Migration: ONS (2009). International Migration Series
MN, TIM Table 2.01a. Table: ONS (2008) Birth
Statistics Series FM1 no.37 Table 9.5. |
1) Introduction
The basic source of information here is the Office for
National Statistics (ONS). See the Population and Migration
section of the web site http://www.statistics.gov.uk
The ONS produces press releases, brief summary reports, and
more in depth regular publications such as Population
Trends, the Series PP2 National Population Projections and
the Series MN International Migration. Other important
sources of information include the Government Actuary's
Department (GAD) http://www.gad.gov.uk/ , the
Home Office (HO) http://www.homeoffice.gov.uk/
and Eurostat, European Commission http://europa.eu.int/comm/eurostat/
.
In the following account, note that some records refer
to Great Britain (GB), that is England, Scotland and Wales,
others to the United Kingdom (UK), that is Great Britain
together with Northern Ireland. Note however, that in terms
of total numbers, the vast majority of people in the UK
live in GB (see the following section).
Note also that ONS sometimes uses mid-year population
estimates, sometimes end of year estimates. It is important
to bear this in mind. For example, in Population Trends 123
(Spring 2006) and the article there on national population
projections, there is a figure 1 which graphs total net
migration over a period of years. Later in the same volume
there is a table 7 that gives actual data on total net
migration. If one plots the data in this table as a graph,
the shape of the graph does not coincide exactly with the
shape of the graph in figure 1, although the general trend
of total net migration is the same. The reason for the
discrepancy is that figure 1 uses mid-year population
estimates, whilst table 7 uses end of year estimates.
To illustrate the differences that occur between between
graphs based on the alternative sets of data, we show, in
the Appendix, population projection graphs based on
mid-year and end of year data.
Finally, population projections normally work in terms of
mid-year data.
Note on the value of published information on
population trends including migration.
“All aspects of
population statistics in the United Kingdom are in an
unsatisfactory state. Even the base population remains
uncertain. Despite every effort, the last two censuses have
turned out to be unsatisfactory. Even the 2001 census,
designed to be infallible, has had to be revised twice and
its incompatibilities with other sources patched up with
statistical Polyfilla. With present systems the degree of
error is unknowable but possibly large. Inappropriate
questions are asked, and necessary ones ignored.
Immigration flow statistics are estimated on small
voluntary samples of intended immigration and emigration,
of incomplete coverage and high sampling error. Immigrants'
destinations around the country are based initially on
their stated intentions on arrival, naturally subject to
revision. With these systems we cannot know who is in the
country, legally or illegally, when they arrived, where
they are or if and when they left. The number of illegal
immigrants is anyone's guess although the government has
given an estimate of about half a million. Internal
migration and local population estimates are based on
obsolete and often wrong census counts, sample surveys
inadequate for local authority use and indirect and partial
estimates from changes in doctors' registrations. Current
huge migration flows quickly render estimates out of
date”. Professor David Coleman (2007)
Memorandum to the House of Commons Treasury Committee
December 2007.
“. ...THE CENSUS OF POPULATION. ----The last 20
years have been turbulent for population estimates for two
reasons. First, society has become more mobile, less
accessible and less willing to respond to surveys. And
increases in international migration have created major
problems in the enumeration of cities and in estimating the
migration component of the annual roll-forward. Second, ONS
made serious errors in census design and execution in 1991
and 2001, and on present plans will repeat the errors in
2011.---- There was a marked increase in non-response in
2001 in all types of area. A record 4 million people (71/2%
of the population) were not entered on census forms. Even
in the "best" local authorities (the unitary and county LAs
with the lowest levels of non-response and together having
10% of the national population) the non-response rate was
about 3%, compared with an average rate among all LAs in
1981 of under 1% ”. Mr. Philip Redfern (2007)
Memorandum to the House of Commons Treasury Committee
November 2007.
For those who would like to look further into the
accuracy of population estimates in relation to recent
censuses, a paper by Ludi Simpson could be consulted
(“Fixing the population: from census to population
estimate”. Environment and Planning A 2007, volume
39, pp. 1045-1057).
For the rest of this account of population trends in
the UK, references in the body of the text are given in the
form (Rx) and are detailed before the appendix at the end
of the account in the references section.
Return to CONTENTS
The UK Population Today
|
| Mid–Year
Populations (thousands) |
| Year |
2006 |
2007 |
2008 |
| England |
50,763 |
51,092 |
51,446 |
| Wales |
2,966 |
2,980 |
2,993 |
| Scotland |
5,117 |
5,144 |
5,169 |
| Northern Ireland |
1,742 |
1,759 |
1,775 |
| United Kingdom |
60,587 |
60,975 |
61,383 |
|
“The UK
population grew by almost one and a half million
between mid-2001 and mid-2006, and at the fastest
rate of growth since the 1960”
(R1). Why was it growing so fast? There are three
reasons:
- Increased Life expectancy. In recent
years mortality rates have been falling, life
expectancy has been increasing (R1, R2).
- Increased Fertility. Total fertility
rate (defined in the Global section of this page),
rose steadily from 1.63 children per woman in 2001
to 1.86 in 2006 and then to 1.96 in 2008— the
highest level since 1973 R3.
- Increased Net International Migration.
In recent years both emigration and especially
immigration have been exceptionally high, with the
result that net immigration has increased
significantly (R1).
Of these three
causes of this rapid growth, Net International
migration has been the main driver
(R10).
Source for table data: ONS (2009) Population
Trends 138 table 1.2
|
Illegal immigrant population
The population figures given above ignore illegal
immigration, for the simple reason that no accurate figures
are available for such immigration. However, the HO, in
2005, did finally produce an estimate of the total illegal
migrant population in 2001 (R4). The components of this
total population were 1) illegal entrants, 2) persons who
exceeded their valid 'leave to remain' period, and 3)
failed asylum seekers who did not comply with instructions
to leave the UK. The HO gave a 'central' estimate of
430,000, within a range of 310,000 to 570,000. This same
report gave an estimate of the total foreign-born
population in the UK in April 2001 of 3.6 million.
An Ageing population
People are living longer, and at the same time, the number
of children born has declined, so the population in
ageing.
So while the total population grew by 8 per cent in the 35
years to mid-2006, — 55.9 million in 1971 to 60.6
million in mid–2006, this growth was not evenly
distributed over all age groups. In this period of time,
the population of people aged over 65 grew by 31 per cent
— 7.4 million to 9.7 million. But the population aged
under 16 declined by 19 per cent — from 14.2 to 11.5
million (R5). And in 2007, for the first time, the size of
the population aged 65 and over came to exceed the size of
the population under 16 (R6). Further, by 2008 the fastest
growing age group was persons aged 85 and over.(R6).
Population density (all figures are population per
sq. km).
According to the Council of Europe, figures for the
beginning of 2005 showed the UK population density was 246,
the fourth highest density in the then EU states (25
states), less than Malta (1274), (the Netherlands (393) and
Belgium (341) slightly higher than Germany (231) and over
twice the population density of France (110) . These
figures should be contrasted with countries having very low
population densities like Sweden (20) and Ireland (58)
(R10) . But the density of the UK varied considerably
between the constituent parts, with England having the
highest density, 387 (nearly as high as the present
Netherlands density), Wales having 142 and Scotland 65
(R7).
However, Mr. James Clappison, MP, tabled a question on
population density in Parliament on the 7th of January
2008. The question was answered by the National
Statistician's office on 18th February. The estimates for
2006 were, for the UK, 250 persons per sq km, and for
England, 390 per sq km. And the principal projection gave
the figure of 464 persons per sq km for England in 2031, a
figure greatly exceeding the present population density of
the Netherlands.
Return to CONTENTS
(3a). The actual growth in numbers
Since around the middle of the 18th Century, the
population of the UK has grown massively. The population
growth rate increased, then it steadied, and later
decreased, producing the S shaped curve in the graph below.
During this whole period the population went through what
is known as the 'demographic transition' — the
transition from a largely rural agrarian society with high
fertility and mortality rates, to a predominantly urban
industrial society with low fertility and mortality rates.
The demographic transition is described in the Global
section of the current page.
Growth of the Population of the UK, and of
England and Wales
|
| Numbers
(millions) |
| Year |
UK |
E & W |
|
Year |
UK |
E & W |
| 1711 |
|
6.0 |
|
1891 |
34.3 |
29.0 |
| 1731 |
|
6.1 |
|
1911 |
42.1 |
36.1 |
| 1751 |
|
6.5 |
|
1931 |
46 |
40.0 |
| 1771 |
|
7.2 |
|
1951 |
50.2 |
43.8 |
| 1791 |
|
8.3 |
|
1971 |
55.9 |
49.2 |
| 1811 |
|
10.2 |
|
1991 |
57.4 |
50.7 |
| 1831 |
17.8 |
13.9 |
|
2005 |
60.2 |
53.4 |
| 1851 |
22.3 |
17.9 |
|
2006 |
60.6 |
53.7 |
| 1871 |
27.4 |
22.7 |
|
2007 |
61.0 |
54.1 |
| |
|
|
|
2008 |
61.4 |
54.4 |
|
 |
| Sources for table: 1)
Tranter (1973) Population since the industrial
revolution: the case of England and Wales. Croom Helm.
2) Central Statistics Office (1935). Annual Abstracts
of Statistics 84. 3) ONS (2009). Population Trends 138
table 1.2. Source for graph: ONS (2009). Population
Trends 138 table 1.2 |
3b). The causes of population growth
— natural increase and migration
Population growth is generally primarily caused by
natural increase, that is, the excess of births over
deaths. But in any particular region, migration will cause
population growth when the amount of immigration exceeds
the amount of emigration. The following diagram summarises
the causal components of population growth
 |
Population
change, increase (growth) or decrease, depends
on two things , first what is termed natural
change and second, net migration. If
births exceed deaths, then natural change is positive
and we speak of natural increase. If gross
immigration exceeds gross emigration, migration is
positive, that is we have net immigration. In
the UK, births do exceed deaths, and gross immigration
does exceed gross emigration. Consequently the
population of the UK is increasing for two reasons,
natural increase and net immigration. |
We look first at
natural increase.
From around the middle of the 18th century to the
present time, births have exceeded deaths, and this has
been the principal cause of the the massive growth of the
UK population (only very recently has net migration become
the main cause of population growth, as we will see
shortly). Over recent decades there has been a trend of
decline in yearly deaths: people are living longer, in
other words, life expectancy has increased (R6). The
situation with births is quite different: yearly births,
which had been declining, have shown a marked upswing,
increasing each year since 2001(see the table and figure
below(R8).
Two terms much used by demographers are the Total
Fertility Rate (TFR)and the Replacement Fertility
Rate(RFR).
The TFR is the number of children that would be born to a
woman if current patterns of childbearing persisted
throughout her childbearing years (usually considered to be
ages 15 to 49). More technically, “the average number
of live children that a woman would bear if the female
population experienced the age–specific fertility
rates of the calendar year in question throughout their
childbearing life span” (R9). The Replacement
Fertility Rate (RFR) is the fertility rate that will
ensure that each woman will be replaced by one daughter in
the next generation. It is roughly 2 because it is only
women that add the males as well as the females to the
population! But it is a little over 2 because, first,
slightly fewer girls are born than boys, and second, some
baby girls do not survive to reproduce.
The Box below shows that after the post–World War
Two and 1960 baby booms, the fertility rate fell steadily
to a level well below replacement level, then for a couple
of decades remained fairly steady. Then it started another
phase of rapid decline to an all time low around the turn
of the century. Since then it has been steadily increasing,
although it is still now below replacement level. We will
look at the reasons for this increase later.
England and Wales. Total Fertility Rate (TFR) and
Natural Change
|
| TFR in Recent Decades |
 |
| Source: Hobcroft, J. (1996). Fertility in
England and Wales: A fifty-year perspective.
Population Studies 50: 485-524. |
|
|
Natural Change & Total Fertility Rate
(TFR)
|
| Year |
Live Births |
Deaths |
TFR |
| 1996 |
649,485 |
563,007 |
1.74 |
| 1997 |
643,095 |
558,052 |
1.73 |
| 1998 |
635,901 |
553,435 |
1.72 |
| 1999 |
621,872 |
553,532 |
1.70 |
| 2000 |
604,441 |
537,877 |
1.65 |
| 2001 |
594,634 |
532,498 |
1.63 |
| 2002 |
596,122 |
535,356 |
1.65 |
| 2003 |
621,469 |
539,151 |
1.73 |
| 2004 |
639,721 |
514,250 |
1.78 |
| 2005 |
645,835 |
512,993 |
1.79 |
| 2006 |
669,601 |
502,599 |
1.86 |
| 2007 |
690,013 |
504,052 |
1.92 |
| 2008 |
708,711 |
509,090 |
1.97 |
|
 |
| Source: ONS (2007
and 2008). Birth Statistics Series FMI nos. 35
and 37, tables 1.3 and 1.4 |
|
We look, second, at
migration
The most important source of information about
international migration is the ONS periodical
“International Migration Series MN”. This
compiles data from three sources. First, the International
Passenger Survey (IPS), a relatively small questionnaire
based sample of persons entering and leaving the UK; second
the Home Office data on asylum seekers and their
dependants; third the Irish Central Statistics Office
estimates of migration twixt the UK and the Irish republic.
Migration estimates based on all three sources are referred
to as Total International Migration (TIM). But some
analyses are based only on the IPS, because of differences
in the characteristics of these different sources.
In the UK, trends in international migration have
changed greatly over the period 1965 to the present,
the country changing from being a
country of net emigration to a country of net
immigration.
This period from 1965 can be divided into three parts
(R10):
- 1975-1982. In most years the annual outflow was
considerably greater than the annual inflow, so there was
net emigration.
- 1983-1993. Inflows and outflows were roughly similar.
There were small net inflows in most years but small net
outflows in a few years.
- 1994 to recent times. There has been net immigration
(inflows exceeding outflows) and this net immigration has
shown an upward trend (until very recently).
The following box shows net migration from 1991 to
2008.
UK. Past Net International Migration
(the balance between gross immigration and gross
emigration)
|
| Year |
Thousands |
Year |
Thousands |
| 1991 |
44 |
2000 |
158 |
| 1992 |
-13 |
2001 |
171 |
| 1993 |
-1 |
2002 |
153 |
| 1994 |
77 |
2003 |
148 |
| 1995 |
76 |
2004 |
245 |
| 1996 |
55 |
2005 |
206 |
| 1997 |
48 |
2006 |
198 |
| 1998 |
140 |
2007 |
233 |
| 1999 |
163 |
2008 |
163 |
|
 |
| The red line is the
linear trend line of the points on the blue line.
Source of data: ONS (2009). TIM table 2.01a,
1991-2008 |
The graph shows clearly
the marked upward trend in net immigration, which
since 1997 has always been well over 100,000 (100 thousand)
a year, which is a very large number. Indeed from 2004 to
2007 it varied between 198,000 and
245,000.
The dip in net migration 2007 to 2008 may be related to
the economic downturn, a subject we return to in the
following sub-section. But it must be noted that, as the
above graph shows, net migration has fluctuated
considerably over the period 1991 to 2007, with some
changes between years as large as this 2007-2008 change. So
this very recent fall may well be only temporary. And if
one draws a regression line without the 2008 data, the
slope is very little different from the slope of the line
shown on the graph. Note also that the figures entirely
ignore illegal immigration, for the simple reason that no
accurate figures are available for such immigration (see
previous section).
We now look at the components of this net migration,
that is, inflows (immigration) and outflows (emigration) -
see the box below.
The graph shows clearly how since the early1990s inflows
have exceeded outflows, and that total (gross) immigration
has increased faster than total emigration, producing the
upward trend in net migration. Concerning the 2007-2008 dip
in net migration, the graph suggests this was caused more
by an increase in outflows rather than a dip in
inflows.
UK. Past International Migration. Inflows,
Outflows and Balance
|
| Year |
Inflows |
Outflows |
Year |
Inflows |
Outflows |
| 1991 |
329 |
285 |
2000 |
479 |
321 |
| 1992 |
268 |
281 |
2001 |
481 |
309 |
| 1993 |
266 |
266 |
2002 |
516 |
363 |
| 1994 |
315 |
238 |
2003 |
511 |
363 |
| 1995 |
312 |
236 |
2004 |
589 |
344 |
| 1996 |
318 |
264 |
2005 |
567 |
361 |
| 1997 |
327 |
279 |
2006 |
596 |
398 |
| 1998 |
391 |
251 |
2007 |
574 |
341 |
| 1999 |
454 |
291 |
2008 |
590 |
427 |
|
 |
| Source of data: Source
of data: ONS (2009). TIM table 2.01a, 1991-2008 |
We now look at the components of flows in terms of
nationality (graph below).
What stands out most from
the next graph is the marked contrast between the two
categories British and Non-British. The Non-British trends
conform to the total international migration trends just
described. In contrast, with the British Trends, outflows
(emigration) have greatly exceeded inflows (immigration);
so net migration was negative.The consequence of this
difference between British and Non-British is that the
composition of the UK population in terms of nationality is
changing significantly , with the proportion of British
decreasing. This is bringing with it massive change in the
population in terms of race, ethnicity religion and
culture.
Total recent UK Net International
Migration together with its British and
non–British components (thousands)
|
|
| Data for alternate
years |
| Year |
Total
Net Migration |
Net
British |
Net
Non-British |
| 1992 |
-13 |
-62 |
49 |
| 1994 |
77 |
-16 |
94 |
| 1996 |
55 |
-62 |
116 |
| 1998 |
140 |
-22 |
162 |
| 2000 |
158 |
-62 |
220 |
| 2002 |
153 |
-88 |
241 |
| 2004 |
245 |
-107 |
352 |
| 2006 |
198 |
-124 |
322 |
| 2008 |
163 |
-87 |
251 |
|
 |
| Source: ONS (2009).
Total International Migration TIM table 2.01a,
1991–2008 |
What about the fall in net immigration 2007 to
2008?
The following graph gives details of inflows and outflows.
The fall in the net migration with the British seems to
have occurred a year earlier than with the
Non-British.
With the Non-British, the flows seem consistent consistent
with the idea that the fall in net immigration was caused
primarily by an increase in outflows rather than a decrease
in inflows (we will return to the fall in net migration in
the following, 3c subsection.
UK. British and Non–British Migration
Flows
|
| Recent Years
(thousands) |
| British |
| |
In |
Out |
Net |
| 06 |
83 |
207 |
-124 |
| 07 |
74 |
171 |
-97 |
| 08 |
85 |
173 |
-87 |
|
Non–British |
| |
In |
Out |
Net |
| 06 |
513 |
192 |
322 |
| 07 |
500 |
169 |
330 |
| 08 |
505 |
255 |
251 |
|
 |
 |
| Source of data: Source
of data: ONS (2009). TIM table 2.01a, 1991-2008 |
The relative
importance of natural increase and international migration
for UK population growth
Over the last 25 years, the contribution of natural
increase to population growth, although varying, has been
relatively constant. With international migration, the
situation has been very different: “Between mid–1981 and mid–1986,
the effect of net migration was to reduce the population
slightly. This is in sharp contrast to recent years when
net migration has been the predominant driver of population
change. Between mid–2001 and mid–2006, net
migration and other changes accounted for almost
two–thirds of the 1.5 million growth in the UK
population (not including the impact that net migration had
upon the number of births in the UK)” (R1
p.15).
We now look at the bracketed bit of the above quotation,
for international migration has indeed contributed to
population growth not just directly (the net number
of immigrants), but indirectly through its influence
on the number of births, in two ways. First, immigrants
have a younger age profile than the resident population, a
larger proportion of the immigrant population belonging to
the breeding age groups than that proportion in the
resident population. Secondly, some major immigrant groups
(first generation immigrants and descendants of earlier
immigrants) originating from countries where fertility
rates are much higher than the overall UK fertility rate,
have a higher fertility rate than the resident population
(R1, R 11).
Now recently there has been a rise in the number of
births in England and Wales as we mentioned earlier,
increasing by 19 per cent between 2001 and 2008. And over
the same time period the Total Fertility Rate (TFR) rose
rapidly from 1.63 children per woman to 1.97 children per
women in 2008. So to what extent has immigration been the
cause of these changes?
Any attempt to answer this question is hampered by lack
of concrete statistical evidence – data that directly
gives an answer is not available. Reliance has to be placed
on some data that is available, from which an answer
may be indirectly inferred, namely the estimated population
of women of reproductive age by country of birth and the
estimated total fertility rates (TFR) of UK born and
foreign born women. But here the numbers of persons born in
the UK will include second and third generation immigrants
(born to earlier migrants). And a further complication
arises from the fact that fertility of immigrant groups
tends to decline over generations (first to second to third
generation)(R8, R12).
A recently published study has attempted to analyse the
various causes of the recent rises in number of births and
of fertility rate in the UK from 2001 to 2007, and assess
the contribution of migration to population growth apart
from the direct effect.
In considering the contribution of UK born and non-UK
born mothers to population changes it must of course be
remembered that the UK born population is far larger than
the non–UK born population. But bearing in mind the
importance of this difference to any population changes,
between 2001 and 2007, while the number of births to UK
born women increased by only 6.4 per cent, the number of
births to foreign born women increased by 65.0 per cent.
The rise in births to UK born women was primarily caused by
rising fertility rates among UK born women (and remember
that a small percentage of these women will be of immigrant
descent). While the rise in births to foreign born mothers
was primarily caused by the increase in the population of
women born outside the UK, “particularly at ages
where fertility is highest”. The chief conclusion of
the study was:
“Two–thirds of the rise in births since 2001
can be attributed to foreign born women. This is mainly a
consequence of the increased size of the foreign born
population in the UK. Yet since 2004 rising fertility rates
among UK born women has been the largest single factor
increasing the overall number of births. However, due to
decreasing numbers of UK born women at the peak
childbearing ages, births to UK born women have only risen
by small amount” (R8).
|
Summer 2010. The following information was
accidentally omitted during the April revision.
For the first time for nearly a decade, in 2008,
natural increase contributed (slightly) more to
population growth than net immigration.
(ONS. Population Trends 138, Winter 2009).
|
3c). Effects of recent European enlargement and the
recession.
In the recent century, two things have disturbed UK
long-term international migration trends. First the further
enlargement of the European Union; second, the recession.
We will deal with these in turn, but of course the two
factors are intimately connected.
In May 2004 ten countries joined the European Union
(EU). These were the so-called 'A8' countries together with
Cyprus and Malta. The A8 countries are:
- Czech republic
- Estonia
- Hungary
- Latvia
|
- Lithuania
- Poland
- Slovakia
- Slovenia
|
This enlargement of the EU led to massive inflows of
immigrants to the UK from the A8 countries, and received
considerable attention in the media. For example, the
Sunday Times stated in 2006 that the influx from the A8
during the preceding two years had been estimated as
350,000 (Times Online May 14th 2006), and quoted Professor
John Salt of University College London as saying
“What we are seeing now...is something
unprecedented”.
Recent figures on country of birth of UK residents for
the year ending June 2009 shows that with non-UK countries
of birth, while India tops the list, Poland comes second,
Pakistan third. Before 2004 Poland would have been a minor
a component of non-UK born residents. In terms of
Non-British countries of nationality, Poland actually tops
the list, followed by the Republic of Ireland and
India.
Here is data on estimated migration flows to and from
the UK:
A8 Countries. Migration to (inflow) and from
(outflow) the UK
|
| Migration flows
(thousands) |
| Year |
Inflow |
Outflow |
Balance |
| 2004 |
53 |
3 |
49 |
| 2005 |
76 |
15 |
61 |
| 2006 |
92 |
22 |
71 |
| 2007 |
112 |
25 |
87 |
| 2008 |
89 |
69 |
20 |
|
 |
| Source of data: ONS
(2009).Total International Migration TIM table
2.01a |
We see that a change has taken place 2007 to 2008, net
migration (positive, so net immigration) has decreased
considerably, apparently driven by both a decrease in
inflows and an even bigger increase of outflows.
Unfortunately the currently available series MN data
(including TIM tables) , we use in the above graph and in
the previous subsection 3b, stops short at 2008. So this
source does not enable us to see how migration flows might
have changed later in the recession.
Now in sub-section 3b we mentioned that one source
component of the MN series migration data is the
International Passenger Survey Questionnaire (IPS).This
survey collects a variety of information from a sample of
passengers entering or leaving the UK. However, the sample
size relative to total inflows and outflows is very small.
Further the Survey suffers from two other defects. First,
it excludes some routes between the Irish Republic and the
UK, and most asylum seekers and some dependents of same.
Second, the estimates are based on respondents initial
intentions. Stated intentions are not necessarily the real
ones, and also may change after migration.
However, The IPS has one advantage over the total long-term
international migration (LTIM) figures that we used in the
previous sub-section. The former are published quarterly
while the latter only twice a year. So at present, the most
up to date published information comes from the the
IPS.
So we now look at IPS data to clarify migration trends
and especially the recent trends. Note this includes all
migrants, not just A8 country migrants.The following graph
shows the trend of net migration.
IPS Estimates of Long-term International
Migration Year ending figures.
|
 |
| Source: ONS. International Passenger
Survey (IPS) estimates of long–term international
migration, rolling annual data to Q2 2009 |
IPS Estimates of Long-term International
Migration Year ending figures.
|
 |
| Source: ONS. International Passenger
Survey (IPS) estimates of long–term international
migration, rolling annual data to Q2 2009 |
The first (net migration) graph confirms as you would
expect, the fall in net migration from 2007 to 2009.
With the second (lower) graph above ( immigration and
emigration), it appears that it is emigration that has
changed the most in the last two years.
But in most recent times, it we take the year endings
June 2008 and June 2009 there has in fact been little
change with either immigration or emigration. With
immigration to years ending 2008 and 2009 the figures are
(thousands) 531,000 to 518,000. With emigration the
corresponding figures are 363,000 to 371,000 (R13).
Now we look at data for A8 citizens (again IPS data).
There we see more pronounced changes:
These results strongly suggest that net immigration of
A8 citizens has been significantly reduced during the
current economic downturn. Looking at inflows (gross
immigration) and outflows (gross emigration), we see that
both have played an important part, the former decreasing
considerably, the latter increasing significantly, although
both declined in parallel a little most recently. However,
if we just consider the change between the year to June
2008 compared with the change to June 2009, we see a
difference in significance between immigration and
emigration. Immigration declined from 100,000 to 68,000, a
decline of 32 per cent. In contrast, emigration rose only
from 43,000 to 58,000, and this rise was not statistically
significant.
The Workers Registration Scheme (WRS).
Another major source of information on migration flows
is 'Worker Registration Scheme' (WRS) operated by the the
Home Office (HO). Workers coming into the country from the
A8 countries are required to register with this scheme. It
must be noted that we cannot equate number of applicants to
the WRS to the number of immigrants from the A8 countries.
In the first place, workers who are self–employed are
not required to register with the WRS. Second,
“..there may also be other workers from the accession
countries who for or one reason or another do not register
and are thus also not included in these (WRS)
figures” (R14. Is this rather vague statement
referring to illegal immigrants? Third, the WRS data
“...they give no clue to the duration of stay in the
UK...” (R15).
The data shows that from May 1st 2004 to the end of June
2006 there were 447,000 applications — a massive
number. The Polish contingent was by far the largest
national contingent, making up 62% of the applicants
(R16).
Now on the 24th February 2009, the ONS issued a News
Release(R16). This stated that initial applications to the
Workers Registration Scheme (WRS) fell in both 2007 and
2008 – Number of applicants: 2006, 235,000; 2007,
218,000; 2008, 165,000. The News Release also stated that
“ there have been falls in National Insurance Number
(NINo) applications by foreign nationals and in the number
of initial applicants from the A8 EU Accession countries
registering for the Worker Registration Scheme
(WRS)”.
We now look at recent published evidence on applicants
approved since the A8 countries joined the European Union,
summarized in the following graph.
Total Approved Applicants from A8 countries, by
quarter years.
|
| Quarter |
Number |
Quarter |
Number |
| 04,2 |
38,830 |
07,1 |
50,320 |
| 04,3 |
46,440 |
07,2 |
52,355 |
| 04,4 |
40,605 |
07,3 |
57,310 |
| 05,1 |
41,495 |
07,4 |
50,820 |
| 05,2 |
55,105 |
08,1 |
46,645 |
| 05,3 |
58,870 |
08,2 |
43,845 |
| 05,4 |
49,485 |
08,3 |
39,220 |
| 06,1 |
46,765 |
08,4 |
28,835 |
| 06,2 |
54,905 |
09,1 |
23,875 |
| 06,3 |
62,855 |
09,2 |
26,470 |
| 06,4 |
63,350 |
09,3 |
29,395 |
| |
|
09,4 |
26,650 |
|
 |
| Source: Home Office.
Recent figures from Control of Immigration. Quarterly
Statistical Summary, United Kingdom. October-December
2009. Earlier figures from Accession Monitoring
Reports. |
We see that the number of approved applicants fell
gradually in 2008 and continued to fall in the first
quarter of 2009, mirroring in general terms the economic
downturn.
This general fall however, masks interesting differences
between countries. Poland has contributed much more than
any other A8 country to the total immigration flow to the
UK. And in terms of approved applicants to the WRS scheme,
applicants from Poland, latvia and Lithuania made up 80 per
cent of these applications in 2009.
With Poland, the number of approved initial applicants
fell from 103, 115 in 2008 to 54, 715 in 2009 - mirroring
and largely causing the overall fall in applications. The
situation was different for Latvia and Lithuania where
approved applications increased from 2008 to 2009. For
Latvia, applications rose from 6,980 in 2008 to 15, 385 in
2009, more than a doubling to reach a record high number.
For Lithuania, applicants increased from 11,560 in 2008 to
14,720 in 2009 (R17).
|
This box added to
the page 3rd of May then modified 4th May, in view of
statements made during the election campaign that are
either untrue and/or misleading. The first statement
was that by the leader of the Liberal Party during
the last televised debate between the leaders of the
three main political parties. He asserted that
“80 per cent of people coming into this country
come from the European Union”. This is untrue.
Then subsequently in a BBC 'reality check' the BBC's
Home Editor made statements about 'immigrants' and
'workers', that could possibly leave the general
public thinking that most immigrants came from
inside the European Union (remember that not all
immigrants are workers). Although he did say the
Liberal Party leader's claim of 80 per cent was wrong
– it was probably only 48 per cent, early on he
said “for every eight immigrants arriving into
Britain, only one is a worker from outside the
EU”, and later he concluded "the
Conservative cap would only apply to one in 8
immigrants" so, by implication, would be
ineffective. To counter the falsehood of the first
statement and the possibly misleading effect of the
Home Editor's statements, data is here provided on
the components of total migration. Since A8 country
migration was dealt with above, data for the A8
countries is included (A8 numbers are included also
in the European Union figures of course).
|
| |
| Comparison:
British (B), European Union (EU), Old
Commonwealth (OC), New Commonwealth (NC), Other
(O), and A8 countries (A8) |
| |
| |
|
2001 |
2002 |
2003 |
2004 |
2005 |
2006 |
2007 |
2008 |
|
|
|
2001 |
2002 |
2003 |
2004 |
2005 |
2006 |
2007 |
2008 |
| |
| B |
In |
110 |
98 |
100 |
89 |
98 |
83 |
74 |
85 |
|
NC |
In |
84 |
92 |
105 |
141 |
117 |
139 |
129 |
121 |
| B |
Out |
159 |
186 |
191 |
196 |
186 |
207 |
171 |
173 |
|
NC |
Out |
19 |
16 |
17 |
19 |
23 |
24 |
26 |
31 |
| B |
Net |
−48 |
−88 |
−91 |
−107 |
−88 |
−124 |
−97 |
−87 |
|
NC |
Net |
65 |
77 |
88 |
122 |
94 |
115 |
103 |
91 |
| EU |
In |
58 |
61 |
66 |
130 |
152 |
170 |
195 |
198 |
|
O |
In |
164 |
201 |
177 |
155 |
137 |
143 |
131 |
142 |
| EU |
Out |
51 |
54 |
51 |
43 |
56 |
66 |
69 |
134 |
|
O |
Out |
49 |
64 |
62 |
52 |
59 |
60 |
43 |
55 |
| EU |
Net |
7 |
7 |
15 |
87 |
96 |
104 |
127 |
63 |
|
O |
Net |
115 |
137 |
115 |
104 |
78 |
83 |
88 |
87 |
| OC |
In |
65 |
63 |
62 |
73 |
62 |
62 |
45 |
44 |
|
A8 |
In |
|
|
|
53 |
76 |
92 |
112 |
89 |
| OC |
Out |
32 |
42 |
42 |
33 |
37 |
42 |
31 |
35 |
|
A8 |
Out |
|
|
|
3 |
15 |
22 |
25 |
69 |
| OC |
Net |
33 |
21 |
20 |
40 |
25 |
20 |
13 |
9 |
|
A8 |
Net |
|
|
|
49 |
61 |
71 |
87 |
20 |
| |
| Source of data:
ONS (2009). TIM table 2.01a, 1991-2008 |
|
| |
| It can be seen that total immigration
from the European Union, in each year, has been less
than immigration from countries outside the European
Union combined. With components of non-European Union
immigration we see that New Commonwealth and 'Other'
countries make the largest contributions, the Old
Commonwealth countries a smaller
contribution. |
Return to CONTENTS
A preliminary note on the nature of
projections. One can never know exactly how many
people there were in the UK in past years. But the
population can be estimated. As far as future populations
are concerned, it is possible to estimate what the
population size will be (or the net migration will be) if
we make any particular set of assumptions about natural
increase (fertility and mortality) and migration. But one
can make many such estimates, since one can make various
alternative assumptions. Every second year a set of
projections has been made by the Government Actuary's
Department, and more recently by the National Statistics
Centre for Demography within the Office of National
Statistics: the Principal Projection and Variant
Projections. The following account is based on the
Principal Projection. A note on the variant projections
will be found at the end.
Strictly speaking, a projection is a set of calculations
which show how a population will develop when certain
assumptions about the future course of fertility, mortality
and migration are made. A forecast, on the other hand, is a
projection in which assumptions are chosen which it is
thought will yield a realistic picture of the probable
future development of the population (R18). However,
government will use projections in its planning, so the
makers of projections “must accept the responsibility
that (the projections) will be used as forecasts”
(R19).
It is important to realize the limitations of medium
term, and especially long term, population projections. As
one demographer noted in 1981, we can think of useable
forecasts for the next five to 20 years, but virtually no
information at all on populations 100 years hence
(R20).
The latest population projections. The following
box summarises the latest (2008–based) principal
projections for the UK as a whole and England.
2008–based projections
|
| Population
Projections 2008–based (thousands) |
| Year |
UK |
England |
Year |
UK |
England |
| 2011 |
62,649 |
52,577 |
2051 |
77,073 |
65,940 |
| 2016 |
64,773 |
54,472 |
2056 |
78,414 |
67,260 |
| 2021 |
66,958 |
56,433 |
2061 |
79,697 |
68,532 |
| 2026 |
69,051 |
58,334 |
2066 |
80,986 |
69,808 |
| 2031 |
70,933 |
60,071 |
2071 |
82,341 |
71,140 |
| 2036 |
72,606 |
61,642 |
2076 |
83,748 |
72,517 |
| 2041 |
74,165 |
63,126 |
2081 |
85,141 |
73,884 |
| 2046 |
75,654 |
64,559 |
|
|
|
|
 |
| Source . ONS (2010).
Series PP2 no.27. 2008-based Population Projections,
Appendix 1 |
The population of the UK is projected to rise from 61.4
million in 2008 to 70.9 million in 2031, an increase of 9.5
million — more than the present population size of
London, the most populous UK city. But between 2008 and
2081, the population is projected to rise to 85.1 million,
an increase from 2008 of 23.7 million — roughly three
times the present London population size.
To put it another way, the UK
population will increase by the present London population
size, on average each 25 years. Such a population growth
has serious implications for the loss of green land to
housing and related infrastructure.
To what extent will this future population growth be
caused by immigration rather than natural increase?
Now to examine the effects of migration in more detail
using the latest, 2008-based projections ( R21, R22. See
also R23). A according to these projections, the population
of the UK will increase by 10.2 million between 2008 and
2033.Of this increase, 55 per cent (5.6 million) is
projected to be caused by natural increase, 45 per cent
(4.6 million) by net migration.
However, international migration will cause the
population of the UK to increase even more than the net
international immigration figure suggests. We
discussed how migration has in recent times caused
population growth more than just through the size of the
net migration stream. And this will continue. The main
point is that “because migration is concentrated at
young adult ages, the assumed level of net migration
affects the projected number of women of childbearing age
and hence the projected number of births” (R22) . The
consequence is that of the 5.6 million increase from
natural increase, there would be only an increase of 3.3
million if net migration was zero. So a little more than
two-thirds of the population increase to 2033 is projected,
in fact, to be caused by migration - 45 per cent caused
directly by future migration and 23 per cent caused by the
effect of migration on population change. To sum up:
| Net immigration,
directly and indirectly is projected to cause 45% + 23%
= 68% of future population growth, or roughly
70%. |
Beyond 2033 the gap between births and deaths is likely
to narrow, so that migration would consequently directly or
indirectly cause a greater percentage of future population
growth. However, there is much uncertainty about future
levels of fertility and hence number of births.
Overall, we can conclude that
net migration (gross immigration minus gross emigration)
will be the main cause of population growth in the future,
as it is already, its share probably growing during the
projection period.
Variant Projections and uncertainties about the
future
The above analysis is based on the Principal Projection.
But other projections, differing in their assumptions,
would lead to different conclusions. Twelve variant
projections were produced. Six of these (such as the High
Migration graph below) are 'single component' variants,
that is, they only vary from the Principal Projection in
assumptions about one component (migration in the case of
the High Migration graph). The other six are 'combination',
variants that differ from the Principal projection in
assumptions about more than one component (as with the High
and Low Population variants below). The High and Low
population variants give the the extreme upper and lower
population sizes. The box below details four of the twelve
projections.
UK. Principal and some variant Projections
|
| Population
Projections 2008–based (thousands) |
| Year |
Low Population |
Principal |
High Migration |
High Population |
| 2011 |
62,380 |
62,649 |
62,805 |
62,919 |
| 2016 |
63,716 |
64,773 |
65,276 |
65,840 |
| 2021 |
65,007 |
66,958 |
67,848 |
68,944 |
| 2026 |
66,133 |
69,051 |
70,357 |
72,041 |
| 2031 |
66,959 |
70,933 |
72,666 |
75,016 |
| 2036 |
67,432 |
72,606 |
74,774 |
77,931 |
| 2041 |
67,617 |
74,165 |
76,782 |
80,932 |
| 2046 |
67,566 |
75,654 |
78,739 |
84,078 |
| 2051 |
67,327 |
77,073 |
80,644 |
87,319 |
| 2056 |
66,953 |
78,414 |
82,483 |
90,582 |
| 2061 |
66,505 |
79,697 |
84,265 |
93,852 |
| 2066 |
66,052 |
80,986 |
86,048 |
97,193 |
| 2071 |
65,611 |
82,341 |
87,890 |
100,697 |
| 2076 |
65,130 |
83,748 |
89,777 |
104,395 |
| 2081 |
64,576 |
85,141 |
91,641 |
108,231 |
|
 |
| Source for Variant
Projections: ONS (2010). 2008-based Population
Projections. Current Data Sets. Data Tables and
Charts. |
We see that even by 2031, the range of population size
between the two extremes is very large (8,057 thousand). By
2081, the difference between high and low is enormous. This
goes to emphasise the considerable uncertainties associated
with longer-term projections.
We are inclined to think that the single most important
factor that may cause actual variation of future population
growth from the Principal Projection, is migration. We say
this for two reasons.
First. We think that future global environmental
degradation (one of the things ignored in preparing the
projections), which is likely to be greatly enhanced by
climate change,will probably cause massive waves of
emigration from many poorer, 'developing' countries. These
countries will probably have become much hotter and
therefore much less able (or even unable) to produce food)
and in some cases will have lost a significant portion of
their land area through sea level rises. All this will be
exacerbated by continued and massive population increase in
some poorer countries. Further, rising food prices, caused
by food shortages, are already causing conflict in many
countries especially those that lie in the world's
equatorial zone — see for example “The new face
of hunger” (R24). While some of the increase in
migration from poorer countries will be absorbed by other
so–called developing countries, there is bound to be
an overspill towards the developed world, and so to the
European Union and the UK.
Our second reason is this. We think that in the present
political climate, it is unlikely that governments in the
richer, developed countries will take adequate measures to
stem the flow of immigrants.
Return to CONTENTS
The Government Actuary's Department has made a new set
of projections every two years (this task has now been
taken over by the Office of National Statistics) and in
this section we look at recent past projections. Before we
do so, however, it is important to note the effect of the
2001 census on population estimates.
After the 2001 census, it was concluded that the total
UK population in the middle of 2001 was 58,837 thousand,
about 1,150,000 lower than estimated prior to the census
(59,987 thousand). The main reason for this difference, ONS
said, lay in the migration component of population growth.
Net flow of migrants into the UK had previously
been over-estimated. It is thought this arose primarily
through under-estimating gross emigration. It was
considered that this under-estimation was principally of
men in the 20 to 39 year age group (over 900,000). The
projection for future net inward migration to the UK will
be revised downwards from 135,000 a year as it was
previously projected, to 100,000 a year. And the
contribution of net immigration to the total population
growth to 2026 is revised downwards from about two thirds
to the nearly 60 per cent mentioned earlier.
These conclusions sparked off considerable controversy
(summarised in our Population Trends page before the July
2004 revision of the UK section of this page - item b) on
our Archive page). The estimate for the 2001 population was
subsequently revised upwards to 59,051 thousand, still
considerably lower than the pre-census2001 estimate.
Projections before the 2001 census.
Two things stand out from the left-hand graph
below.
First, all the projections have the population decreasing
after reaching a peak somewhere in the 2020s to
2040s.
Second, with the exception of the 1994-based projection,
each successive projection raised the peak population size.
And if we ignore the 1992-based projection, each succeeding
projection has 'upped' the population growth as the
following table shows (population in thousands)
| projection |
projected population
at 2021 |
when population
peaks |
peak population |
| 2000-based |
64,105 |
2040 |
nearly 66,000 |
| 1998-based |
63,642 |
2036 |
nearly 65,000 |
| 1996-based |
62,244 |
2031 |
nearly 63,000 |
| 1994-based |
61,130 |
2023 |
over 61,000 |
The main cause of the increases has been changes in
migration assumptions to which we now turn.
First, again ignoring the 1992-based projection, the
immigration component of population growth in the immediate
future has been increased with each projection. Iin the
1994 projections it had been assumed that there would be a
net inflow in the immediate following years of 50,000
persons a year. The 1996-based projections raised this to
65,000 per year. The 1998-based projections raised the
level to 95,000 per year. The 2000-based projections raise
the level to 135,000 people.
Second there was a change in assumptions between the
1994 and earlier projections on the one hand, and the later
projections. In the former, it was assumed that after about
20 years, net immigration would gradually decrease to zero.
With the three later projections, this assumption is
abandoned - the projected net inflow (65,000, 95,000 and
135,000 respectively) is maintained for the whole
projection period. What was the reason given by ONS for
this constant level assumption? These appears to be merely
that it is extremely difficult to predict changes in
migration more than a few years ahead and that this
assumption is normally made internationally ( for example,
R25 page 19 left. See also R26.
These seem to us to be rather weak reasons. First, ONS
makes projections for several decades later, so why not
several decades for migration? If one has to choose a long
term level, would it not be better to use the long term
upward trend for guidance, rather than assuming net
migration will soon settle to a constant annual level?
Second, just because this assumption is normally made
internationally, does not mean that the assumption is
correct, or that UK circumstances are similar to
circumstances in other countries.
Projections in the decade before the 2001 census had
been based on the previous, 1991, census. The 2001 census
provided a means to check the estimated then current (2001)
population size. The Office of National Statistics
concluded that the results of the 2001 census showed that
the 2001 population size had been significantly
over–estimated in past projections. The reason stated
was that past net migration (balance of gross
immigration and gross emigration) had been overestimated.
It was initially concluded that this over-estimation of
past net migration was caused by an
underestimation of past gross emigration. Some
revisions have subsequently been made. Census methodology
and analysis of results came in for considerable criticism,
which we recorded in the version of this page before our
2004 revision of same ( now archived as item (b) on the
archive page). Readers might also like to read a recent and
comprehensive review of census population estimates by Ludi
Simpson of the Cathie Marsh Centre, Manchester University
(R27).
Post 2001 Census population projections.
We now turn to the post 2001 census UK population
estimates, namely the 2002–based, 2004–based
projections, 2006-based and 2008-based projections. We
showed the graph of the 2008-based projection in the
previous section. In the right-hand graph below, we have
not shown the 2008- based projection for the simple reason
that at the scale this graph was drawn, the 2008-based
projections is not distinguishable from the 2006-based
projection.
How did the 2002–based projection compare to the
pre–2001 census 2000–based projection? Not
surprisingly in view of what we have just noted about the
2001 census, the 2002–based projection for early
years was lower than those of the pre–census
projection. For example, for the year 2006 we have
(thousands) 2000–based: 60,946; 2002–based:
59,995.
However, by 2051, the 2002–based projection estimate
was larger than the 2000–based: 2000–based:
65,354; 2002–based: 65,440. And the gap between the
two estimates widened progressively after 2051.
When we look at the following two projections
(2004–based and 2006–based), we find that each
increases population growth above the previous
projection:
| UK Past Projections |
 |
 |
With the 2004–based projection, the main reason
for the increase was increase in assumptions about future
migration, although in the long term a reduction in
mortality assumptions becomes increasingly important. With
the 2006–based projection, the increase was ascribed
(in order of decreasing significance) to more births, more
migrants and fewer deaths.
With the 2008-based projections, the main changes in
assumptions concerns migration. "The main changes are
a decrease in the long-term migration assumptions for
England and consequently for the UK despite increases in
the assumptions for Wales and Scotland". For the
annual net flow from 2014-15 onwards, the 2006-based
projections had 190,000; the new 2008-based projections has
the figure 180,000 (R21) .
Now the recession might reduce net migration. However,
to emphasize again our views: we emphasise that the 'push'
factors for emigration from developing countries and
conflict torn countries to developed countries that have
been in operation for a long time, are now aggravated by
continued environmental degradation, increasing wealth
disparities between developed and many developing countries
and continued massive population growth in developing
countries where levels of real poverty remain high, and
continued government inability to control illegal
immigration, let alone get a decent estimate of the extent
of same. Climate change is likely to render large areas of
some poorer countries uninhabitable. All this suggests to
us that net international migration may continue to
increase for some years to come in the absence of
government adopting firm immigration reduction measures
(unlikely, we think)
Return to CONTENTS
It would be nice if there were available reliable and
up–to–date statistics on birth, death, and
migration trends for all ethnic groups over the last 50
years for the UK and constituent countries — there
should be and could have been —but they are not.
Nevertheless, the data that is available enables us to get
a general picture of the present situation and how it has
developed over the years.
6a). Today's population
An insight into population composition in terms of
origins and ethnicity comes from data on the foreign born
population:
Great Britain Foreign Born Population (15 years
old +) around AD 2000
|
| Region of
Origin |
Numbers
(thousands) |
| Africa (AF) |
762.6 |
| Asia (AS) |
1,475.4 |
| Latin America (LA) |
324.1 |
| North America (NA) |
193.3 |
| Oceania (OC) |
156.8 |
| EU15 |
1,183.1 |
| EU A10 |
202.6 |
| Other Europe (OE) |
166.1 |
| Unspecified (UN) |
39.5 |
|
 |
Source of data used:
Organisation for Economic Co-Operation and Development
(OECD) (2008)
“A profile of immigrant populations in the 21st
Century”. Table 0.1. Copyright OECD. |
What stands out most is the very large population of
Asian and EU persons.
Iinformation on births to mothers who were born outside
the UK gives an insight into immigrant flows. In 2006, 22
per cent of all births in England and Wales were to mothers
born outside the UK. This is the highest proportion since
registration of parents' country of birth at birth
registration was introduced in 1969. Further, from 1969 to
around 1990, the annual percentage was always roughly
around 13 per cent. But about 1990 an upward trend
developed. So the high value in 2006 has been reached in
less than 20 years (R28). We return to this topic later
Ethnic group sizes.
The following histogram shows the estimated sizes of
ethnic groups in England in 2007, using the 2001 census
classification of ethnic groups.
England: Ethnic Group Numbers 2007
(thousands)
|
| Group |
Number |
|
Group |
Number |
| 1 |
42,736 |
|
9 |
906 |
| 2 |
571 |
|
10 |
354 |
| 3 |
1,776 |
|
11 |
339 |
| 4 |
283 |
|
12 |
600 |
| 5 |
114 |
|
13 |
731 |
| 6 |
261 |
|
14 |
118 |
| 7 |
212 |
|
15 |
400 |
| 8 |
1,316 |
|
16 |
376 |
|
 |
| 1 |
White: British |
5 |
Mixed: White and Black African |
9 |
Asian or Asian British: Pakistani |
13 |
Black or Black British: African |
| 2 |
White: Irish |
6 |
Mixed: White and Asian |
10 |
Asian or Asian British: Bangladeshi |
14 |
Black or Black British: Other Black |
| 3 |
White: Other |
7 |
Mixed: Other Mixed |
11 |
Asian or Asian British: Other Asian |
15 |
Chinese or Other Ethnic Group: Chinese |
| 4 |
Mixed: White and Black Caribbean |
8 |
Asian or Asian British: Indian |
12 |
Black or Black British: Caribbean |
16 |
Chinese or Other Ethnic Group: Other |
|
| Source: ONS
(2009)..Population Estimates by Ethnic Group: 2001 to
2007. Table EE4. |
We see then that, in decreasing size order, the largest
minority groups are Other White, Indian, Pakistani,
African, followed closely by Caribbean and Irish.
6b). Population growth of ethnic groups in the
past
Coleman and Salt (R34) give us the long term picture.
They note that before the 20th Century, “immigrants
to Britain did not establish substantial ethnic minority
populations”. There had before been immigration
streams but “never on the scale of post-war
Commonwealth immigration”. Further, almost all of
those earlier immigration streams, apart form the Jews,
came from other West European countries, countries that had
“similar economies and demographic regimes”,
and the people were racially indistinguishable from the
host population. There were few barriers to
assimilation.
All this changed in the middle of the 20th century, when
large numbers of immigrants from Third World countries
began to arrive. They differed sharply from earlier
immigrants in colour, race, and (except for the West
Indians) in language and religion. All this “was a
break with the past". "Cultural differences,
relative poverty and hostility" tended to keep these
people apart.
And now, at the end of the first decade of the 21st
Century, we have a massive ethnic minority population
(already about 8 per cent of the whole population in 2001),
and in a few urban areas the ethnic minority population
collectively outnumber the original native peoples.
Some indication of the ethnic composition of the UK
population and how it is changing very recently is given by
data on country of birth and nationality of residents.
Information here is more up to date than data on ethnicity
itself, so we begin with this information before going on
to ethnicty.
Data for the year to June 2008 and to June 2009 may be
summarised as follows.
Percentages of categories
|
| Category |
Year to June 2008 |
Year to June 2009 |
| UK born |
89.3 |
88.7 |
| British Nationals |
93.3 |
92.9 |
| Source: ONS. Statistical
Bulletin. Migration Statistics Quarterly Report No. 4:
February 2010. |
These results suggest that the ethnic minority
population has increased as a percentage of the total
population from 2008 to 2009.
Now we turn to flows of immigrants from various
countries and ethnicity estimates.
Great Britain
Since the second world war the transformation of the
ethnic composition began with major influxes of people:
first came West Indians (1950s), then Indians, then
Pakistanis (1960s) later still people from Bangladesh. With
the African population, communities were established in
seaports in the late 1940s onwards, but substantial inflows
came later partly resulting from political instability in
Africa in the 1970s (R12, R30). It continued through
further immigration, and the high fertility of some ethnic
groups that we explore in sub–section 8c below. The
consequence has been that “because of high fertility
and continued immigration, New Commonwealth minority
populations have increased rapidly from negligible numbers
in 1945 to about 2.5 million in 1987... This represents an
annual growth rate of about 5.2 per cent from 1971 to
1987” (R29 p. 501).
If we consider just the 1990s, the total population grew
by 4 per cent.
But if population is
disaggregated by ethnic group, it can be seen that 73 per
cent of this total GB population growth came from the
growth of the non–white populations.
“The increase in the
numbers of people from different ethnic backgrounds and
countries is one of the most significant changes in Britain
since the 1991 Census” (R31 p.2). We
return to the subject of ethnic group immigration in
sub–section 8b below.
England.
The majority of the ethnic minority population lives in
England, and useful data, not available for the whole of
the UK, is available for England for the period 1981 to
2007.
We first look at look at results from the work of P.
Rees and colleague R32, R33). Here are some major
conclusions from this work:
- The total White population only grew a little. The
% change 1981–1991: 0.4%, 1991–2001:
0.2%
- In contrast, the total ethnic minority population
almost doubled. The % change 1981–1991:
40.7%, 1991–2001: 39.1%.
- All non-white ethnic minority groups grew
1981–2001 except the Black: Other group.
- The Bangladeshi group grew the fastest
1981–2001, followed by the the Black: African
group.
We now look at results from the 'experimental
statistics' of the ONS. The following table tabulates basic
data.
| England: Estimated
mid–year population numbers of ethnic groups
(thousands) |
| Group |
2001 |
2002 |
2003 |
2004 |
2005 |
2006 |
2007 |
| White:
British |
42925.8 |
42867.9 |
42805.1 |
42756.2 |
42752.3 |
42,737.7 |
42736.0 |
| White: Irish |
628.8 |
619.9 |
611.1 |
601.9 |
591.9 |
581.3 |
570.5 |
| White: Other |
1342.3 |
1396.6 |
1447.9 |
1514.1 |
1623.1 |
1699.1 |
1776.3 |
| Mixed: White and Black Caribbean |
234.4 |
242.1 |
250.0 |
258.1 |
266.3 |
274.5 |
282.9 |
| Mixed: White and Black African |
78.3 |
83.5 |
89.4 |
95.3 |
101.4 |
107.7 |
114.3 |
| Mixed: White and Asian |
187.2 |
197.6 |
208.7 |
219.9 |
233.1 |
246.4 |
260.9 |
| Mixed: Other Mixed |
154.3 |
162.5 |
171.3 |
180.5 |
190.6 |
200.9 |
212.0 |
| Asian or Asian British: Indian |
1045.6 |
1074.7 |
1109.1 |
1156.0 |
1215.2 |
1264.2 |
1316.0 |
| Asian or Asian British: Pakistani |
720.0 |
742.1 |
764.0 |
795.1 |
826.4 |
861.0 |
905.7 |
| Asian or Asian British: Bangladeshi |
281.5 |
291.6 |
302.1 |
313.1 |
324.5 |
338.3 |
353.9 |
| Asian or Asian British: Other Asian |
243.8 |
259.9 |
275.8 |
291.0 |
309.7 |
323.1 |
339.2 |
| Black or Black British: Black Caribbean |
569.8 |
574.5 |
581.0 |
586.5 |
590.1 |
594.7 |
599.7 |
| Black or Black British: African |
491.1 |
532.2 |
578.6 |
620.5 |
658.5 |
694.5 |
730.6 |
| Black or Black British: Other Black |
97.4 |
100.2 |
103.7 |
107.0 |
110.4 |
113.8 |
117.6 |
| Chinese or Other Ethnic Group: Chinese |
227.0 |
255.3 |
285.8 |
315.0 |
346.9 |
374.2 |
400.3 |
| Chinese or Other Ethnic Group: Other |
222.4 |
251.8 |
282.7 |
300.7 |
325.2 |
351.5 |
376.1 |
| Total all Non–White British groups |
6523.9 |
6784.5 |
7061.2 |
7354.7 |
7713.3 |
8025.2 |
8356.0 |
| Total all Non–White groups |
4552.8 |
4768.0 |
5002.2 |
5238.7 |
5498.3 |
5744.8 |
6009.2 |
| ALL groups |
49449.7 |
49652.3 |
49866.2 |
50110.7 |
50465.6 |
50762.9 |
51092.0 |
| |
| Source: REF. ONS (various dates).
Population Estimates by Ethnic Group (Experimental)
table EE1 |
|
What stands our most from
the above table are:
1) There has been a significant decrease in size of
the White: British population.
2) There has been a much more significant growth in
the non–white and the non–White: British
populations. Back in 2007 the National Statistician,
Karen Dunnell pointed out about the situation then:
“The latest experimental population estimates
by ethnic group for England indicate that between
mid–2001 and mid–2005 the population
belonging to non–white ethnic groups increased
by 945,000, accounting for almost 11 per cent of the
English population in mid–2005” (R1 p.
14).
3) all non–White: British groups increased
during the total period, with the exception of the
White: Irish group that decreased like the White:
British group.
4) With all groups that increased during the period,
the increase took place throughout the period, that
is, there was an upward trend with each group.
5) There were considerable differences between group
growth rates 2001 to 2007. The three fastest growing
groups were Chinese or Other Ethnic Group: Chinese
(76.34% increase), Chinese or Other Ethnic Group:
Other (69.11%) and Black or Black British:
African (48.77%). In contrast, the Black or Black
British: Black Caribbean was a mere 5.25% –
by far the slowest growing group (the next slowest
being Mixed: White and Black Caribbean
20.69%).
|
There is just one caveat about the above conclusions,
and that concerns the White: Irish group, for there is
considerable doubt about its size in 2001 (R30).
What is clear from the
evidence given in this sub–section 6b, is that after
many centuries during which the population was almost
entirely White, and mainly White: British, a sudden and
massive transformation of society is underway through the
growth of ethnic minority populations.
To what extent is recent population growth due to
natural increase and to what extent is it due to
migration?
Data is available for England. In the table below
minority ethnic groups are combined into main
categories.
England. Components of growth, and average
percentage annual growth rate 2001–2007
|
| Group |
Total Growth |
Natural Growth |
Net Migration |
% Annual growth |
All
people |
1,642 |
689 |
934 |
0.5 |
White:
British |
-190 |
181 |
-380 |
-0.1 |
Mixed
|
216 |
169 |
46 |
4.9 |
Asian
|
624 |
222 |
401 |
4.1 |
Black
|
290 |
97 |
191 |
3.8 |
Chinese
& Other |
327 |
28 |
299 |
9.5 |
|
 |
 |
| Source. ONS (2009). Population
Estimates by Ethnic Group: 2001 to 2007 Commentary,
table 2: Components of Change, England, 2001-2007. |
Not surprisingly in view of the evidence presented
above, the White: British group population is seen as
declining through emigration. The two graphs illustrate the
difference between this group and ethnic minority groups.
It is also not surprising that with the Mixed group, growth
was mainly caused by natural growth, because most mixing
between whites and others occurred in England, not in other
countries prior to emigration to England.
What is most interesting is the fact that with each of
the three minority groups listed, Asian, Black, and Chinese
and Other, net migration has been the principle cause of
population growth.
6c. Fertility of ethnic groups
We give below estimates for England of total fertility
rates 2003–2004 from R34 (see the appendix to this
page for details of the method).
A word first about the black rectangles on the top of
the columns. These increases in fertility rate derive from
improvements in fertility estimation methodology (R34.
Commentary).
We see that the fertility rates of all three white
groups are way below the replacement level of roughly 2.1.
The ethnic minority fertility rates vary considerably. Some
have a fertility rate below replacement level, like the
white groups. The lowest rate is for the Chinese group.
Some have a fertility rate above replacement level,
sometimes greatly in excess of that level. The highest rate
was for the Pakistani group, closely followed by the
Bangladeshi group. The Indian group is estimated to have a
below replacement fertility level, although an earlier
study suggested that this group had a fertility rate a
little above replacement level (R35). This same earlier
study also reported on attitudes to family size. The family
size preferences of Pakistani and Bangladeshi groups were
higher than the preferred family size of the long-term
indigenous population (which were mainly the White: British
group).
England. Estimated
Fertility of Ethnic Groups 2003 and 2004
|
| 2004 data |
| Group |
TFR |
|
Group |
TFR |
| 1 |
1.74 |
|
9 |
2.53 |
| 2 |
1.69 |
|
10 |
2.45 |
| 3 |
1.66 |
|
11 |
2.10 |
| 4 |
1.93 |
|
12 |
1.77 |
| 5 |
2.13 |
|
13 |
2.26 |
| 6 |
1.62 |
|
14 |
1.72 |
| 7 |
1.68 |
|
15 |
1.42 |
| 8 |
1.62 |
|
16 |
1.67 |
|
1
|
| Colour
Key. Original Estimates for 2003: red, green, purple,
ochre, blue, grey. Increases for 2004:
black |
|
| Ethnic group
KEY |
'ALL': All people
1: White: British
2: White: Irish
3: White: Other White
4: Mixed: White and Black Caribbean
5: Mixed: White and Black African
6: Mixed: White and Asian
7: Mixed: Other Mixed
8: Asian or Asian British: Indian
|
9: Asian or Asian British: Pakistani
10: Asian or Asian British: Bangladeshi
11: Asian or Asian British: Other Asian
12: Black or Black British: Caribbean
13: Black or Black British: African
14: Black or Black British: Other Black
15:Chinese or other Ethnic Group: Chinese
16: Chinese or other Ethnic Group: Other
Ethnic Group
|
The ethnic
classification is the one used in the 2001 Census
|
Data sources for the histogram. 2003 estimates: Large,
P. and Ghosh, K. (2006). “Estimates of the
population by ethnic group for areas within
England”. Population Trends 124, ONS.
2004 estimates: Data kindly supplied to us by P. Large.
All the data comes from 'experimental statistics' which
have significant methodological limitations (see
Appendix). |
6d). Relationship between migration and fertility of
ethnic groups
Some estimates are available on the fertility rates of
residents by country of birth of mother for England and
Wales:
England and Wales. Total fertility rates (TFR's):
country of birth of mother, 2001
|
The Rates
|
| United Kingdom (UK) |
1.6 |
| India (IND) |
2.3 |
| Pakistan (PAK) |
4.7 |
| Bangladesh (BAN) |
3.9 |
| East Africa (EAF) |
1.6 |
| Rest of Africa (RAF) |
2.0 |
| Remainder of New Commonwealth
(RNC) |
2.2 |
| Rest of the World (RWD) |
1.8 |
|
 |
| Source: ONS (2007) Birth
Statistics Series FM1 no.36 table 9.5. |
Country of birth does not correspond to ethnicity. The
'rest of the world' is a very mixed bag, ethnically
speaking. And the UK born will include minority groups as
well as the White: British group, although the vast
majority of persons will belong to the White: British
group. The other groups are ethnically more homogeneous.
And the proportion of White: British in these other groups
will be small or very small.
What stands out most from the above table and graph is
that with the exception of the East African group, all the
outside of UK groups have fertility rates higher than the
group of mothers born in the UK, the Pakistan and
Bangladesh born groups having by far the highest
fertilities. And we saw (section 6c) that considering the
whole ethnic group populations in England and Wales, as
distinct from country of birth populations, it is the
Pakistani and Bangladeshi groups that have the highest
fertilities of all ethnic groups.
One might expect some correlation between these
fertility differences in England and Wales, and the
fertilities differences between countries of origin. If we
look at fertility in countries of origin (table below), and
consider India, Pakistan and Bangladesh, the fertility
rates in those countries in the period 2000 to 2005 were,
respectively, 3.11, 3.99 and 3.22. All these rates are well
above replacement level, and well above the rates of the
corresponding total populations in England and Wales. But
the order of these country of origin estimates is the same
as the order of fertility rates in the above table, and the
order of fertility rates in the total England and Wales
populations, that is, India lowest, Bangladesh
intermediate, and Pakistan highest. Note also that with the
Pakistani and Bangladeshi populations, the fertility rates
of the foreign born populations are much higher than the
fertility rates in country of origin. Have conditions in
England and Wales promoted an increase in fertility? Or is
it that immigrants from these two countries are relatively
young compared with country of origin total
populations?
| Fertility estimates |
| Group |
Total Group Fertility, 2004 |
Group fertility by Country of Birth of
mother, 2001 |
Fertility in Country of Origin,
2000–2005 |
| White: British, England and Wales(ew), or Total
UK(uk) |
1.74ew |
1.6uk |
1.7uk |
| Indian |
1.62 |
2.3 |
3.11 |
| Pakistani |
2.53 |
4.7 |
3.99 |
| Bangladeshi |
2.45 |
3.9 |
3.22 |
| Sources. Mr. Pete Large,
ONS (total group fertility). Birth Statistics Series
FM1 no.35 Table 9.5 (by country of birth). UN. World
Population Prospects the 2006 revision (country of
origin) |
Another point that emerges from the above table is that
the differences between country of origin fertilities and
total UK group population fertilities are consistent with
the hypothesis that the fertility rates of immigrant
populations that have a much higher fertility than the host
population, will gradually over generations decrease to
that of the host population, so we look further into
fertility decline over time.
Decline in fertility of ethnic groups.
The 2010 paper by D. Colman and S. Dubuc (R36) shows
that the fertilty of all ethnic groups in the UK has
declined since the 1970s, some to very low levels.
But, fertility with the
Bangladeshi and Pakistani groups (groups where around 90
per cent are Muslim), although still decreasing, remain
substantially higher than the national
level. Also, the delay in childbearing,
while this seems to be taking place with all groups,
“is less marked among Pakistani and Bangladeshi
women”. In contrast to other minority groups, the
fertility of Chinese women fell below the national average
by the mid 1970s.
Considering only recent times, the following table shows
estimates of the Total Fertility for Whites and the most
populous ethnic minority groups together with the national
average ('All')
| Fertility change |
| Group |
1996-2000 |
2001-2005 |
| All |
1.76 |
1.73 |
| White |
1.72 |
1.71 |
| Indian |
1.63 |
1.64 |
| Pakistani |
2.91 |
2.79 |
| Bangladeshi |
3.43 |
2.97 |
| Black African |
2.45 |
2.36 |
| Black Caribbean |
1.88 |
1.94 |
| Chinese |
1.35 |
1.24 |
|
| Source. R.36 table 5. |
What about the future? Coleman and Dubuc think that
over time, fertility rates of ethnic groups presently
having rates above the national average, will continue to
decrease unless there is an increased flow of immigrants
from the same country of origin.
Contribution of ethnic group fertilities to the
recent rise in UK fertility.
In an earlier section (3b) we noted that the total UK
fertility rate has risen sharply in recent years. So the
question arises, to what extent may this be caused by
higher fertility of some ethnic groups . A 2007 paper by
the then National Statistician, Karen Dunnell (R1)
provides relevant information including the
following:
- Between 2002 and 2006, in England and Wales, the
estimated fertility rate for women born outside the UK
rose from 2.3 to 2.5, but rose from 1.5 to 1.7 for UK
born women.
- 15 per cent of births in the UK in 2001 were to
mothers born outside the UK, this percentage increasing
to nearly 21 per cent in 2006.
- In terms of different age groups, the fertility of
women born outside the UK has increased more in the
25–29 and 30–34 age groups than it has for
UK born women. But the small increase in fertility of
women in the 20–24 age group seems to be
accounted for by women born in the UK.
- There is evidence that women born outside the UK
have higher intended family sizes at each age than UK
born women. And with the 30–34 age group 18 per
cent of women born overseas intended to have four or
more children, compared with 11 percent of UK
born.
Dunnell concluded that international migration has
impacted on the number of births in the UK in recent
years. And “although it does not on its own explain
the rise in the TFR for the UK over the past five years,
analysis suggests that it has indeed contributed to this
rise. The higher average fertility of women born
overseas, especially in countries such as Pakistan and
Bangladesh, is of particular relevance when considered
alongside the relatively young adult age structure of the
UK population of Asian ethnic origin”. The Press
release on this publication (R37) stated the overall
conclusion of the work quite simply as “Both UK
born and non-UK born women have contributed to the
consistent rise in fertility rates in the UK between 2001
and 2006”.
One final comment. What effect will the recent
masssive immigration from Poland have on UK fertility
rate? The Daily Mail newspaper, 2nd December 2006,
suggested that the birth rate of Polish immigrants was
greater than in many cities in Poland. If this is so, is
it because Polish immigrants tend to be relatively young?
We note that in Poland the fertility rate is well below
replacement level.
6e). Age composition of ethnic group
populations.
England. Percentage
Age Composition of Ethnic groups, 2007
|
| Females.
15–44 age groups as % of total number for
group, mid–2007 |
| Group |
% |
|
Group |
% |
| 1 |
38 |
|
9 |
53 |
| 2 |
28 |
|
10 |
55 |
| 3 |
59 |
|
11 |
54 |
| 4 |
46 |
|
12 |
47 |
| 5 |
46 |
|
13 |
59 |
| 6 |
45 |
|
14 |
53 |
| 7 |
47 |
|
15 |
65 |
| 8 |
54 |
|
16 |
64 |
|

|
| Group Number Key.
See previous sub-section. Colour Key. Age
Groups: yellow: 0–15; blue: 16–64/59; grey:
65/60+ |
| The table is based on data in
“Population estimates by ethnic group
2001–2007” Table “EE4: Estimated
resident population by ethnic group, age and sex,
mid–2007(experimental statistics)”.
ONS. |
The histogram is based on data in
“Population estimates by ethnic group
2001–2007” Table “EE2: Estimated
resident population by ethnic group, age and sex,
mid–2007 (experimental statistics)”.
ONS. |
Turning to age structure in 2007 (the histogram above)
we look first at the young age groups (0–15 years).
What stands out most is the relatively high percentage of
the population in these age groups in all the Mixed
ethnic groups. All the Asian groups have a higher
proportion of their populations in these age groups
compared with the White groups, the Pakistani and
Bangladeshi groups a much higher proportion. We note that
the Pakistani group has the second largest total
population of the non-White groups, much larger than any
of the Mixed groups, so its relatively young age
structure has obvious implications for the future changes
in the ethnic composition of England. Now it is worth
noting that Pakistanis and Bangladeshis are predominantly
Muslim peoples, and we see the significance of religion
in the next sub-section.
With the working age groups (16-64/59), there is
considerable variation between non–White ethnic
groups. However, the Mixed groups all have a lower
percentage than the White: British, while almost all of
the other groups have a higher percentage, the Chinese
and Other having the largest percentages.
Considering the older age groups (65/60+), the White:
British has the largest percentage of its population in
these groups than any other group apart from the White:
Irish group. In terms of larger group categories (White,
Mixed, Asian, Chinese and other) the Mixed group stands
out as having the lowest percentage of its population in
this age group.
Of particular interest for future changes in ethnic
composition in England are the percentages in what we may
term the 'breeding age groups'. For present purposes we
will take these to include the 15–19 age group
through to and including the 40–44 age group (table
above for mid–2007). Just considering females (only
females produce offspring!) we see that apart from the
White: Irish group, all the
other ethnic groups have a higher proportion of the
population in the breeding age groups than the White:
British, usually a much higher
proportion.
A good way to conceptualize the variation of age
structure between populations is to construct what are
termed 'age pyramids'. We would prefer the term
age profiles since the shapes of some 'pyramids'
are decidedly not what one expects of a pyramid! The
following diagram shows variation in age profiles. The
vertical axis shows age and the horizontal axis shows the
proportion of the population that is in each age
category. Colour key for the age groups. Green:
Pre–working age groups. Orange: working age groups.
Grey: post–working age groups. Notice the
left-right (make–female) profile asymmetry. This is
because women tend to live longer than men.
 |
 |
 |
| YOUNG. Each successive
age group (from 0–4 to 85+ is smaller than the
preceding age group. The working age group (shown in
orange) has to provide for a comparatively large
population of children. However children can help their
parents in growing food, collecting firewood, etc. |
INTERMEDIATE. The age
pyramid is dominated by the working age groups. Given
appropriate conditions (low unemployment etc.) the
working age population is potentially well able to
support the old and the young. |
OLD. Now the pyramid is
almost rectangular in shape. The working age population
needs to support a large population of older
people. |
| SOURCE: Our essay “the
demographic dividend” accessed from the Analysis
section of the Comment and Analysis page of our web
site. |
Actual age profiles of different ethnic groups have
been prepared, apart from the 'mixed' and 'other' groups,
whose populations are very heterogeneous (R25).
The Pakistani and Bangladeshi profiles are of the form of
the 'young' profile on the left in the above diagram. The
population that best approaches the 'old' population
profile on the right is the White : British. The White:
Irish profile has a peculiar shape, with a decided
outward bulge for the age groups of about 20 to 80, with
a maximum width for the age groups 50 to 70, so like the
White: British, a greater proportion of the population is
towards the apex of the profile. The other groups are
more like the intermediate profile above, although each
has its own distinctive shape.
Finally, what about the profiles of immigrant groups,
that is, the first generation of the immigrants in
Britain? Well: “Migrants have a younger age
profile than the resident population, around a half of
international migrants are aged between 25 and
44” (R10), so they fall within the working
and breeding age groups. And the Home
Office report on workers from the 10 countries that
joined the EU since May 2004 states that the majority are
young, between the ages of 18 and 34. But 94% of these
workers stated that they had no dependants living with
them (R38).
6f). Religion and Family Values of Ehnic
groups.
A 2005 government article (R39) states:
“Families headed by a Muslim are more likely than
other families to have children living with them. Nearly
three quarters (73 per cent) had at least one dependent
child in the family in 2001, compared with two fifths of
Jewish (41 per cent) and Christian (40 per cent)
families. Muslim families also had the largest
number of children. Over a quarter (27 per cent) of
Muslim families had three or more dependent children,
compared with 14 per cent of Sikh, 8 per cent of Hindu,
and 7 per cent of Christian families” (our
bold text).
The article goes on the say that while the larger
proportion of families with children and larger family
sizes partly reflects the younger age structure of the
Muslim population (see also R40), it may also
reflect the intention of Muslims to have larger
families (our bold text). Noting that many
Muslims have a Pakistani or Bangladeshi background, the
article says that these ethnic groups intend to have on
average three children, while the White population intend
two.
The 2006 ONS report “Focus on Ethnicity and
Religion”, reiterates the idea that Muslims tend to
have larger families, but it takes the analysis a step
further. It notes that differences between religious
groups are highly correlated with ethnicity.
However, ethnicity does not explain fully the
differences between religious groups. “Religion can
exert a strong influence, sometimes being more important
than ethnic group in determining household
characteristics. For example, in all ethnic groups,
Muslims tended to have larger average household sizes and
a greater number of dependent children”
(our bold text) (R39).
Now Eric Kaufmann of Birkbeck College, University of
London has been studying secularisation in Europe (R41,
R42 and personal communication). He notes that religious
people tend to have a higher fertility than non-religious
people, “consistently choose to have more children,
regardless of education, income, nation, denomination or
generation”. And in an analysis of data from ten
west European countries for the period 1981–2004,
Kaufmann found that next to age and marital status, it
was a woman's 'religiosity' (it would be better we think
to use the less judgemental term 'strength of religious
affiliation') that was the strongest predictor of the
number of offspring she produced, and he states that many
other studies have reached the same conclusion. He also
argues that immigrants into Europe tend to be more
religious than the host population and he states that
several other studies have drawn this conclusion.
Moreover, there seems to be little or no decline in
'religiosity' between immigrants and their first and
second generation descendants, especially with
Muslims.
Intermarriage is often seen as an indicator of change
in social and cultural difference from the host society,
or a test of assimilation. Now an interesting article
very relevant to retention of strength of religious
feeling is that by Lucassen and Laarman (R43) who studied
the propensity to intermarry of various migrant groups in
Germany, France, England, Belgium and the Netherlands The
authors found that religion appears to be an important
variable. Migrants whose faith has no tradition in
Western Europe intermarry at a much lower rate than those
whose religious backgrounds correspond with those that
are common in the country of settlement . And the rate of
endogamous marriages in Western Europe are highest in
Hindu and Muslim communities. Further, Muslims not only
seldom marry non-Muslims but they usually do not marry
across ethnic boundaries. The authors write of loss of
people from Islam: Muslim women who marry a non-Muslim
man are often seen as lost for the (patrilineal) family
and thereby for Islam. From this perspective the children
will take the religion of the non-Muslim father. This is
different for Muslim men who marry a non-Muslim woman as
men are not seen as lost for the family and faith and
their children are expected to be Muslim. All this
supports the hypothesis that Muslim communities in
Western Europe retain a strong sense of religious
affiliation.
However, Goldscheider (R44) argued that the retention
of Muslim high fertility in some places in the Westen
World is not caused by Islamic theology, but by the
retention of traditional family values and segregated
roles for men and women . But he also mentioned evidence
from Asia that attendance at Islamic schoools associated
with radical sects may lead to retardation of fertility
decline. And we note the existence of Madrassas and
Islamic schools in Britian that seem to have a radical
approach to education.
Westoff and Frejka (R45) also find the retention of
family values is strongly associated with fertility
level. In a study of European groups, fertility had a
strong positive linear association with pro-family values
with four religions – Catholic, Protestant, Eastern
orthodox and Muslim. But they also found that their
family values index was higher for Muslim women than for
non-Muslim women. Further, in a study of responses to
questions, they also found “that Muslim women aged
18-44 consistently espouse traditional attitudes”
(and of course, the 18-44 age groups are the main
breeding age groups). Among the traditional attitudes
concerned were the attitudes to family and to having
children. “Muslim women were more likely than women
of other religions to feel that the family is a very
important institution”, and “ a woman has to
have childen to be fulfulled”.
Returning to Kaufmann's findings, as far as the native
Christian population is concerned, secularisation seems
to be levelling out. Turning from the Christian
population to the overall religious population, Kaufmann
argues that there will be a growing religious
population well before 2050. This will be through a
virtual cessation of apostasy from religion among those
born after 1945, Muslim immigration and retention between
generations of their 'religiosity', the fertility
difference between secular and religious populations, and
finally, females are over–represented among those
under 45 who remain religious.
6g. Past international migration of ethnic
groups
Introduction
“Modest migration has always been a feature of
Great Britain, but much of the ethnic and religious
diversity of the current population is a result of large
scale migration from the 1950s onwards. Early immigration
waves included economic migrants from Ireland, the
Caribbean and India, followed by migrants from Pakistan
and Bangladesh, their wives and dependants. Since the
1980s migration from Africa and China has increased and
has included students and asylum–seekers, as well
as economic migrants” (R30 page 20).
Enlarging on this statement we note that migrants from
Ireland have been coming to Britain for a long time, but
this immigration increased in the 1930s to 1961, then
increased again in the 1980s onwards. Until the 1950's
there were few people in Great Britain from the Caribbean
and South Asia. But in the 1950s this changed —
there was mass immigration from these areas. The massive
net Black Caribbean migration took place in the 1950s and
1960s and came to an end after 1974, but immigration from
India, Pakistan and Bangladesh continued at a reduced
rate. The peak flows of the countries involved came in
the following order. First Black Caribbean migration,
second, Indian migration, and finally, Pakistani and
Bangladeshi migration. As regards the latter two nations,
mass immigration from Pakistan occurred in the 1960s and
continued throughout the 1970s and 1980s (driven by
family reunion). Immigration from the region that is now
Bangladesh began before the 1960s, but it increased after
the Pakistan nation was formed in 1971 as a
split–nation from Pakistan.
One more nation should be mentioned, namely, China.
Migration from mainland China started in the late 19th
century but increased from the 1980s onwards (with many
people coming from China to study), and there has also
been immigration from Hong Kong (R29, R30 R46).
Now of course we have recently had significant inflows
from a new source, namely the European A8 countries. Most
of these people belong to the White Ethnic Group. But net
flows from the A8 countries are small in comparison with
the total net flow to the UK, as we will see later.
Available data allows us to classify immigrants in a
variety of ways, each giving us insight into the ethnic
composition of immigration flows. One way that is very
relevant to current concerns about cultural change is to
divide immigrants into those from European nations (i.e.
countries with a relatively similar cultural heritage)
and non-European nations (that usually have a cultural
heritage very different from the European). With this
classification, and around the year 2000, nearly 66 per
cent of immigrants to Britain were from non-European
countries. This, bearing in mind the large size of
immigrant flows, presages massive cultural change .
Britain is not alone in Europe in experiencing this large
inflow of non-Europeans. With the Netherlands it was 62
per cent, and with France, 59 per cent (R47).
Some data is now available for migration at the
country of origin level. This data was obtained in the UK
parliament by Mr. James Clappison MP (question tabled 7th
January 2008, answered from the Office of the National
Statistician 18th February 2008). Parliamentary questions
and answers may be viewed by going to the Parliament web
site (http://www.parliament.uk/) then browsing in
Hansard).
The data was only from the main source of information
on immigration, the International Passenger Survey, so
does not include some categories of immigrants such as
asylum seekers. Nevertheless, it suggests that national
immigration flows have been changing over the years. Here
we give information about the countries that contributed
the most immigrants in each 2 year period.
| Top 10 citizenships
migrating to the UK |
| 1997–98 |
|
1999–2000 |
|
2001–02 |
|
2003–04 |
|
2005–06 |
| 1 |
British |
|
1 |
British |
|
1 |
British |
|
1 |
British |
|
1 |
British |
| 2 |
Australia |
|
2 |
Australia |
|
2 |
Australia |
|
2 |
India |
|
2 |
Poland |
| 3 |
France |
|
3 |
USA |
|
3 |
China |
|
3 |
China |
|
3 |
India |
| 4 |
USA |
|
4 |
China |
|
4 |
India |
|
4 |
South Africa |
|
4 |
Pakistan |
| 5 |
Greece |
|
5 |
France |
|
5 |
South Africa |
|
5 |
Australia |
|
5 |
Australia |
| 6 |
New Zealand |
|
6 |
India |
|
6 |
Philippines |
|
6 |
Pakistan |
|
6 |
China |
| 7 |
Germany |
|
7 |
South Africa |
|
7 |
USA |
|
7 |
France |
|
7 |
South Africa |
| 8 |
South Africa |
|
8 |
New Zealand |
|
8 |
Germany |
|
8 |
USA |
|
8 |
USA |
| 9 |
India |
|
9 |
Germany |
|
9 |
France |
|
9 |
Philippines |
|
9 |
Germany |
| 10 |
Malaysia |
|
10 |
Pakistan |
|
10 |
New Zealand |
|
10 |
Poland |
|
10 |
New Zealand |
What stands out most from the trends across the whole
recent period is the change from the situation where most
immigrants came from countries with predominantly a white
population, to the situation where there is a very
significant contribution from countries that have a
predominantly non-white population, certain Asian
countries.But note. We are writing here about
immigration, not net migration.
Also noteworthy at this stage is the new entry into
the upper reaches of the top ten in the final two year
period — Poland: A Times Online May 14th 2006
article quoted Professor David
Coleman of Oxford University as saying “From one
country in a very short space of time, it must be the
largest influx we have ever seen” and quoted
Professor John Salt of University College London as
saying “What we are seeing now...is something
unprecedented”.
Inflows and Outflows
Massive inflows from various countries do not
translate directly to massive contributions to total
population growth. To understand the latter, we must also
look into out-migrtion by the same national or ethnic
groups.
Duration of stay of immigrants. Do they usually
stay permanently?
Rendall and Ball (R48) studied migration streams in
the 1980s and 1990s. They found there was considerable
complexity not only in the composition of migration
streams in terms of nation of origin of immigrants and
the date of their arrival, but also in the extent that
immigrants remained in the UK. We focus here on short
term immigration and nation of origin.
The report shows that short–term immigration is
commoner for people from some countries than for others.
A rough generalization is expressed by the reports
authors in terms of wealth: short term immigration is
more associated with higher–income countries
than with low–income countries.
Immigrants from the European Union, Australia, New
Zealand, Canada and the USA have relatively high rates of
subsequent emigration, over 50 per cent emigrating again
within five years. These are the
higher–income countries. In contrast,
lower–income countries have a lower rate of
subsequent emigration, well under twenty per cent for the
Indian sub–continent. Rendall and Salt (R49)
confirm the general difference between higher and
lower–income countries. What Rendall and Ball's
report does not draw our attention to however, is the
long term consequences in terms of changing ethnic
composition of our population. For instead of talking in
terms of income, we can talk in terms of ethnic groups
and re–phrase the authors conclusion:
Return migration is
commonest with people who originated in countries where
White ethnic groups predominate, groups all of which have
their cultural roots in Europe. In contrast, migrants
from the Indian sub–continent have a greater
tendency to stay in the UK, and they belong to non-White
ethnic groups. These results have clear implications for
the changing relative size in the UK of groups with a
European heritage and groups with a non-European
heritage.
Now a new report adds further support to these
conclusions. The report states that while migrants from
more developed countries tend to stay for shorter
periods, migrants from poorer countries tend to stay for
longer periods or settle permanently. (R50).
Now it seems as if migration between the UK and Poland
may conform to this generalisation..
More information on the question of permanence of stay
coms from a standard official classification of
citizenship used in migration statistics: British,
European Union (recently also divided into EU 15 and
EUA8), Old Commonwealth, New Commonwealth and 'Other
Foreign'. The following graphs summarise the situation
for main categories for 2006, 2007, and 2008 (the latest
year for which figures are available). As an illustration
of the figures used we give the data for 2008 below the
graphs.
Net International Migration. Citizenship (numbers
are thousands). 2006, 2007, 2008
|
 |
 |
 |
 |
 |
Key: I, gross inflow. O, gross
outflow. B, balance (net migration). Blue, 2006.
Pink, 2007. Brown 2008. |
| UK: Migrant flows, in terms of
citizenship (thousands). Data for 2008 |
| |
British |
European Union |
Old Commonwealth |
New Commonwealth |
Other foreign |
| Inflow |
85 |
198 |
44 |
121 |
142 |
| Outflow |
173 |
134 |
35 |
31 |
55 |
| Balance |
87 |
63 |
9 |
91 |
87 |
|
| Source: ONS, Series MN, Long-term
International Migration. Table 2.01a LTIM citizenship
1991-2008 |
There is considerable variation in the shape of these
drawings. The British shape differs from all the others
because emigration greatly exceeds immigration, as we saw
earlier.
There is a marked contrast between New and Old
Commonwealth, with relatively small outflows for the New
Commonwealth compared with the Old Commonwealth. This
difference supports the conclusions reached above
duration of stay.
Notice here also the difference of scale. Net immigration
for the New Commonwealth is around 90 thousand, while net
immigration with the Old Commonwealth is around 20
thousand.
The EU shows much variation between recent years. But
for 2006 and 2007 (and also for 2004 and 2005 that we
showed in the version of the UK Population Trends before
the current revision) the shape, surprisingly, is similar
to that of the New Commonwealth, although the ratio of
inflows divided by outflows is much smaller for the EU
than for the New Commonwealth. The image for 2008
resembles the image for the Old Commonwealth
The duration of stay of immigrants affects the age
structure of the foreign-born population, affects the
old–age dependency ratio, that is the the ratio of
people of pensionable age to people of working age.
Immigrants are usually relatively young when they arrive.
So a consequence of shorter length of stay is the greater
youth of the foreign born population. “To have an
older immigrant population requires both that immigrants
settle and that they arrived a relatively long time
ago” . The lowest old–age dependency ratios
occur with groups characterised with shorter patterns of
stay (Oceania and to a lesser extent North America), and
groups where immigration has been more recent (most
notably Africa but also the Far East).This relationship
between duration of stay and the degree of youthfullness
of the foreign born population is clearly relevant to
fertility differences between ethnic groups (R49).
Data is available to allow a comparison of migration
trends of British versus non-British persons, a
comparison we also looked into earlier (section 3b) where
we saw that net migration since 2001 has two contrasting
components the British and non-British. Now in the
following we extend the time period backwards to
1993.
| UK:
Net migrant flows, British and Non–British,
1993–2008(thousands) |
| Year |
1993 |
1994 |
1995 |
1996 |
1997 |
1998 |
1999 |
2000 |
| British |
–62 |
–16 |
–51 |
–62 |
–59 |
–22 |
–24 |
–62 |
| Non–British |
+62 |
+94 |
+127 |
+116 |
+107 |
+162 |
+187 |
+220 |
| All citizenships |
–1 |
+77 |
+76 |
+55 |
+48 |
+140 |
+163 |
+158 |
| Year |
2001 |
2002 |
2003 |
2004 |
2005 |
2006 |
2007 |
2008 |
| British |
–48 |
–88 |
–91 |
–107 |
–88 |
–124 |
–97 |
-87 |
| Non–British |
+220 |
+241 |
+239 |
+352 |
+294 |
+322 |
+330 |
+251 |
| All citizenships |
+171 |
+153 |
+148 |
+245 |
+206 |
+198 |
+233 |
+163 |
|
| Source: ONS (2009). Total
International Migration TIM table 2.01a,
1991–2008 |
There has been a net outflow of British citizens, and
a net inflow of non-British citizens throughout the
period from 1993 onwards. But there has been a net gain
of population through migration throughout this period
(except for 1993): The flows of both groups have
generally been substantial, but the flows for non-British
have greatly exceeded the British flows. Note that the
figures show a trend of increasing net immigration of
non-British until very recently when there has been a
fall, but not as far as the figures for the 1990s.
Actually the net inflow of non-British and net outflow
of British citizens did not begin in the early 1990s.
There was in fact a net inflow of non-British citizens in
every year from 1981 onwards. With British citizens there
was a net outflow in every year in the 1980s except for
1985 (R51). In both 1991 and 1992 there were net outflows
of British and net inflows of non-British (TIM tables).
So the net outflow of British and
the net inflow of non-British citizens has been a feature
of UK population change for a long time.
All this suggests that in terms of actual ethnic
groups (as defined for the census), there has been a
massive net outflow from the largest ethnic category,
namely the White: British and a large net inflow of
ethnic minority persons, but the data just reviewed does
not allow us to go further in terms of ethnicity
Finally, we now have an estimate of net migration of
foreign groups over the last one and a half decades:
| FIGURE
2 |
Scale and
composition of foreign net immigration to the UK by
nationality,
1991-2006 (thousands and %) |
| |
|
|
|
EU15: the fifteen EU member states
before EU enlargement in 2004
A8: the eight East European countries that joined the
EU in 2004
Old Commonwealth (Old CW): Canada, Australia, New
Zealand and South Africa
New Commonwealth (New CW): all other Commonwealth
countries
Source: ONS, Total International Migration (TIM)
tables, 1991-2006 |
|
This figure comes from House of Lords Select Committee
on Economic Affairs (2008) “The economic impact of
immigration. Volume 1: Report” HL Paper 82–1
.
Now In the media, including the BBC, in recent times,
all the emphasis has been on the massive immigration from
A8 countries, especially from Poland , since the recent
EU enlargement. Rarely, if ever in some media, is the
size of the 'Other' and New Commonwealth (NC) categories
immigration mentioned. But we see from the above table
that the net inflows of both 'Other' and NC migrants
greatly exceeds the net inflows of the A8 countries. What
is more, the net inflow of the NC group has increased in
recent years.
In one sense the numerical disparity of net
immigration between the A8 and the New Commonwealth
groups of nations should come as no surprise, when we
recall that there has been a massive outflow again of
Polish immigrants to Britain (section 3c) and it is
people from poor countries who, having come to Britain,
tend to stay here (section 6f).
6h). Projections of future population growth of
ethnic minority populations
The information given so far in section 6 provides
clear indications about how the size and composition of
the ethnic minority population of the UK is likely to
change in the future. Some salient facts are:
- For a long time there has been a considerable net
emigration of White: British people.
- The total ethnic minority population of the UK has
grown massively since the middle of the last
century.
- Immigrants tend to be relatively young
- Fertility varies between ethnic groups within the
UK. In the UK population, fertility is low and below
replacement level with the White: British, White: Irish
and Indian groups. It is above replacement level for
the Pakistani, Bangladeshi, Black or Black British:
African and two of the mixed group population groups.
While fertility in ethnic minority groups has fallen
towards the low level of the White groups, it has still
remained substantially higher with the Pakistani and
Bangladeshi groups.
- The estimated fertility rate of women born outside
the UK was much higher than that of UK born women,
being especially high in Pakistani and Bangladeshi born
groups.
- Religious people tend to have more children than
non-religious people and the rapidly growing Muslim
population is very religious.
- Retention of traditional family values seems to
retard the fertility decline amongst Muslim women.
- The length of time that immigrants stay in the UK
varies between ethnic groups. In general, immigrants
from developed countries tend to stay for a shorter
time than immigrants from poor countries. In terms of
ethnic classification, Whites tend to stay shorter
times than persons from Africa and the Indian
subcontinent, although the situation with whites from
the former EU nations is unclear at the present
time.
We now give details of two recent projections of the
size and composition of the ethnic minority population.
The first looks at the period 2001–2051, the second
at the shorter period 2001–2020.
Ethnic population Projections, England and
Wales
|
| Numbers (millions)
and percentages |
| Group |
2001 |
2051 |
| Whole population |
52.0 |
63.1 |
| White British & Irish |
46.1 (88.7%) |
40.3 (63.9%) |
| White non-British |
1.4 (2.7%) |
7.3 (11.6%) |
| Non-White ethnic
minorities |
4.5 (8.7%) |
15.5 (24.5%) |
|
 |
Source. Data in:
Coleman, D. (2006). Migration and ethnic change in
low-fertility countries: a third demographic
transition.
Population and Development Review 32 (3) 401-446. |
Coleman states the assumptions he made as
follows:
1) Mortality is assumed to be the same in all
groups.
2)The aggregate trend of ethnic minority fertility is
assumed to decline from the present 2.14 to 1.9,
slightly higher than the projected national overall
total (1.75).
3) Fertility of the white population (immigrant and
native) is assumed to increase from 1.64 to 1.74.
4 Net annual inflow of the non-white population is
assumed to be a constant 108,000, and for the British
and Irish population, -53,000 (minus 53,000). A
variable level of immigration is assumed for the white
non-British population. |
Ethnic Population Projections, UK
|
| |
|
|
| |
RESULTS:
How much is
each
group
projected to
change from
2001 to 2020? |
|
| |
|
|
|
|
Ethnic group,
all
ages |
UK
population
2001 Census |
%
Change 2001-
2010 |
%
Change 2010-
2020 |
| White |
54118 |
+2 |
+2 |
| Mixed |
674 |
+41 |
+30 |
| Asian |
2336 |
+25 |
+19 |
| Black |
1148 |
+22 |
+14 |
| Chinese and
Other |
471 |
+68 |
+28 |
| Sum of groups |
58747 |
+4 |
+4 |
|
|
| |
|
|
|
|
The mixed group
grows fastest. Other groups are growing at
a
slower rate than they did in the
1981–91 and 1991–2001 periods. |
|
| |
|
|
|
Source: Rees, P. (2007).
“Ethnic Population Projections: Review and
Illustrations of Issues”. Paper presented at the
Workshop on Monitoring Population Change with an
Ethnic Group Dimension at the Cathie Marsh Centre
for Census and Survey Research, Manchester University,
18th May 2007.
Table reproduced by kind permission of Professor
Rees. |
Rees states the assumptions he made as
follows:
1) Constant fertility rates from 2001. 2) Mortality
rates declining at 2%/year. 3) Migration model 1- see
below. 4) Constant intensities and flows. 5) Plenty of
scope for improvement and different scenarios.
Technical explanation, kindly supplied to us by
Professor Rees:
(1) Migration model 1: this is one combination of
choices made in handling migration in the model:
a. Internal out-migration is projected by
multiplying the population by a rate of internal
out-migration.
b. Emigration is projected by multiplying the
population by a rate of emigration.
c. Internal in-migration is projected by assuming
a flow (count) of in-migrants.
d. Immigration is projected by assuming a flow
(count) of immigrants.
Internal = within the UK
External = outside the UK.
(2) Intensities is a generic term that includes
demographic (occurrence-exposure) rates and demographic
probabilities. For some components rates are used (e.g.
fertility), for other components probabilities are used
(e.g. mortality). NB. This study was concerned with
ethnic group distribution within the country as well as
with change in country level ethnic group size.
More information on the migration model may be found in
Rees, P. & Parsons, J. (2006).
“Socio–demographic scenarios for children
to 2020”. Report to Joseph Rowntree Foundation
Child Poverty Programme. |
|
The paper by Rees provides a
stark contrast between the futures of the White and
the non-White ethnic minority populations of the UK
during the period 2001–2020. Rees states:
While “the White population grows a
little”, “the ethnic minority population
grows very substantially because of demographic
momentum and high immigration”
(R52).
Finally, Coleman in the
paper from which we have given projection details
above, presents details of population projections for
a number of other countries and shows how a projected
massive increase in the proportion of foreign born
persons is not confined to England and Wales. It is
found with other low-fertility countries in the
developed western world. He thinks this might merit
being described as a 'third demographic transition'.
But the changes in these countries and the changes in
the developing world will be asymmetrical :
“the composition of the population of the
developed world will come to resemble more that of
the developing world, but not
conversely”.
And his final conclusion for
western countries is that “without restraint
from policy, or spontaneous moderation of trend, the
process is likely soon to become irreversible in some
countries. In ignoring its long-term consequences the
countries of the West are facilitating a radical
transformation of the composition of their societies
and the cessation of a specific heritage: a
transition by default, through embarrassment at
discussing difficult issues or in a fit of absence of
mind. Democratic approval might have been thought
necessary for so notable and permanent a change, the
prospect of which would have been dismissed as absurd
just a few decades ago” (R47) .
|
Doubts about how things will change in the
future.
We think that the two issues over which there is
serious doubt about how things will change in the future
are fertility rate change and the extent of net
immigration.
Changes in fertility rate.
Immigration by persons from high fertility ethnic groups
will obviously help to further the growth of the UK
population. But what happens to the fertility of these
groups in the second, third and beyond offspring
generations? We have seen how the fertilities of high
fertility ethnic minority groups have been converging to
the fertility of the host population.. However, while
there may be convergence, there are features of society
in the countries of origin which, carried over into the
UK, may at least slow convergence for particular groups.
In sub-section 6e we wrote about the importance of
retention of 'family values'. And in the 1992 book by
Coleman and Salt (R29) we read (pages 512-5130):
“the limited role outside the home prescribed for
women by Islam may sustain higher than average fertility
under most economic circumstances” Also
“Asian extended family arrangements and the
prevalence of family enterprises may make high fertility
seem less disadvantageous than among West Indians”.
And Coleman in his 2006 paper notes “But fertility
differences may persist if immigrant groups do not
achieve socioeconomic equality, if they retain strong
attachment to religious or other elements of foreign
culture, and if they continue to be numerically and
culturally reinforced by large-scale migration,
especially through importing unacculturated spouses from
high-fertility countries” (R42).
As far as religion is concerned, we noted in section
6e above how Eric Kaufmann found that next to age and
marital status, it was a woman's 'religiosity' that was
the strongest predictor of the number of offspring she
produced, and immigrants into Europe tend to be more
religious than the host population. Moreover, there seems
to be little or no decline in 'religiosity' between
immigrants and their first and second generation
descendants, especially with Muslims. In a recent study
he found evidence that religious population growth is
outpacing religious apostasy in Europe. “Meanwhile,
religious women continue to maintain a 10–15
percent fertility advantage over nonreligious women (even
with controls for age, class, education and income). With
secularism stalled, religious demography takes over
– even in the west European heartland, and our
projections suggest that these countries will be more
religious in 2100 than they are today”. However,
any suggested trajectories of religious observance,
fertility and the relationship between these variables
are not set in stone; there remain considerable
uncertainties as to how things will develop in future
(R42).
Then we have the possibility of population competition
between ethnic groups, and more specifically, competitive
breeding - the situation where, unconsciously or
consciously, an ethnic group promotes its own breeding.
Parsons in his monumental book on population competition
(R53 page 281) gave an example from the former Yugoslavia
based on work by Kapor-Stanulovic):
“...Yugoslavia was the most heterogeneous country
in Europe and population competition and competitive
breeding were well launched before the series of civil
wars erupted and it broke up......This seemed to be
operating especially powerfully in the province of Kosovo
in the south (neighbouring Albania) where the proportion
of ethnic Albanians is expanding rapidly because of their
substantially greater birthrate. In 1989 the total
fertility rate here was 4.12 (compared with 1.74 in
Croatia)....The ethnic Albanians demanded more power in
accordance with their numbers...”.
Now there is no doubt that amongst Muslim groups in
the UK there are sizeable numbers of activists who see
their mission to be that of jihad, of conquering the
country for Islam (jihad in its 'external' aspect rather
than the 'internal' aspect, the daily inner struggle to
be a better person). And there can equally be no doubt
that many Muslims have felt threatened by or
discriminated against not only by Whites but by
non-Muslim ethnic minority groups. This is just the sort
of situation where competitive breeding might develop.
And we note that Coleman and Salt (R29 page 513) wrote:
“ Where minorities feel threatened by absorption or
assimilation, a 'minority effect' may make acceptance of
family planning difficult and retard convergence in
fertility”. And in his 2006 paper we have referred
to earlier, he writes: “Increased inflows of
unacculturated populations may conserve or even drive up
fertility rates, as among African populations in Sweden
and Britain” (R47 page 410).
Net Immigration
The magnitude and composition of the future net
immigration flows to the UK will depend on two factors.
First, the balance of the 'push' and 'pull' factors
experienced by potential immigrants; second, the extent
and way that the UK government controls the country's
borders.
'Push and Pull' factors (previously discussed in
section 4).
Poverty and insecurity in the developing world are
factors that stimulate emigration to the developed world.
With global food supplies shrinking, continued population
growth and loss of agricultural land through global
warming (rise in sea levels inundating vast areas of land
and alteration of rainfall patterns) are likely to
increase poverty and increase insecurity through conflict
over scarce resources. This will strengthen the 'push'
factor.
On the other hand, deterioration of the economic
situation in the developed world, of which the present
financial crisis may be an indicator, may make developed
countries much less attractive as a destination to people
in the developing world.
As for migration within the EU, if the economic
conditions in the A8 accession countries to improve
significantly, this is likely to both reduce immigration
to the UK and stimulate return migration of Polish
citizens and other A8 country citizens.
Government control of borders.
It is clear that the government has not had, and does not
have proper control over the UK borders. The vast, but
actually unknown numbers of illegal immigrants is clear
evidence of this as is the muddle over deporting failed
asylum seekers and criminals, this made worse by
decisions in the law courts, which, at almost every end
and turn, seem to frustrate even the government's very
modest attempts at gaining control. And then there is the
problem of EU regulations, especially human rights, that
militate against the government taking firm control of
the UK borders, even if it wanted to (and we suspect it
doesn't). And finally, there is the fact that the
left-wing liberal elite and the Christian Church seem
bent upon putting the interests of asylum seekers and
illegal immigrants above those of British citizens.
Further enlargement of the European Union.
If Turkey joins the EU, which even our Head of State
seems to support, we are likely to see a significant
increase of movement of people between the UK and Turkey.
To what extent this will turn out to be net immigration
to the UK is difficult to predict. It will partly at
least depend on the relative strength of the economies of
the two countries when and if Turkey joins the EU.
Conclusion
All in all, the factors just reviewed mean it is
impossible to predict with any degree of accuracy how
fertility and migration changes will affect the growth
not only of the whole UK population, but of the ethnic
minority groups. We think that, on balance, present high
fertility in some ethnic groups may only reduce very
slowly, and that significant net immigration to the UK is
likely to continue for some years at least.
Finally, it is worth noting a general point about
immigration and fertility rates that Professor David
Coleman drew attention to, and which we can apply to the
ethnic minority populations of the UK:
“In the long term,
the minority will become the majority in a country if
there remains even one region in which the proportion of
the minority continues to increase through immigration
and/or higher birth rates (Steinmann
& Jager 1997)” (R54). And again in a 2008 paper
“ Any country with sub-replacement fertility and
with constant levels of immigration must eventually
acquire a population of predominantly, eventually
entirely, immigrant origin” (R55).
Return to CONTENTS
People are living longer, and at the same time, the
number of children born has declined, so the population
in ageing.
While the total population grew by 8 per cent in 35 years
— 55.9 million in 1971 to 60.6 million in
mid–2006, this growth was not evenly distributed
over all age groups. In this period of time, the
population of people aged over 65 grew by 31 per cent
— 7.4 million to 9.7 million. But the population
aged under 16 declined by 19 per cent — from 14.2
to 11.5 million (R5). And in 2007, for the first time,
the size of the population aged 65 and over came to
exceed the size of the population under 16 (R6). Further,
by 2008 the fastest growing age group was persons aged 85
and over. The ageing of the population is projected to
continue (note in the right hand table below it is the
median age, not the mean age that is shown):
| Percentage of the Population aged 65 and
over |
| Year |
1992 |
2002 |
2012 |
2022 |
2031 |
| Percentage |
15.8 |
15.9 |
17.2 |
19.4 |
22.2 |
|
| Source. ONS. Ageing in the UK. Data Sets
Table 8. |
|
|
| Median Age |
| 2008 |
2011 |
2016 |
2021 |
2026 |
2031 |
2033 |
| 39.3 |
39.8 |
40.1 |
40.3 |
40.9 |
41.8 |
42.2 |
|
| Source: ONS
(2009). National Population Projections,
2008-based. |
|
One way to represent the age structure of a population
is to use 'dependency ratios'. One form of dependency
ratio is the number of dependants per 1,000 persons of
working age. The following histogram shows the under 16
age groups , and the older persons (pensionable age)
groups ratios:
| Dependency
Ratios |
 |
| Source: ONS (2009). National
Population Projections, 2008-based. |
We see that the Pensionable age ratio is projected to
rise considerably in decades to come.
Now the ageing of the population has raised concerns
about how to provide for the needs of older people. So
the question is raised — can we maintain or
increase the relative size of the working age population
– the backbone of economic activity – and
hence the support for older people (the pensionable
population). Of course, the working age population has
not only to support the old age population; it has also
to support young people.
One way to increase the working age population that
has been much discussed in recent years is to maintain or
increase immigration flows, because immigrants are more
concentrated in the working age groups than the
population as a whole.
However, we need to be careful not to exaggerate the
significance of migration flows to maintaining support
for the aged. For immigrants are not very much younger on
average than the populations they are moving into –
roughly ten years on average (R.54). Furthermore,
immigrants themselves age, adding to the problem of an
increased old-age population.
In fact to keep the potential support ratio even at
the 2000 level level would require an unimaginably large
number of immigrants. The UN estimated this as 524
million ( or 13 million a year) — far, far larger
annual levels of net migration than has ever been
experienced in recent times or the more distant past
(R54, R56, R57). See also our essay “What policy
should the UK Government adopt towards
immigration?” which is attached to our Comment and
Analysis page.
| So significantly
encouraging increased support for the ageing
population by increasing immigration flows is not a
viable option. |
Return to CONTENTS
8a. The population ignoring ethnic
classification
A useful introduction to changing population
distribution is provided by the report of Champion et al
(1998) on migration flows in England (R59). Perhaps the
most significant phenomenon in the last half century has
been what is termed the ‘counter-urbanisation
cascade', the movement of people from inner cities to
suburbs, large cities to small towns, urban areas to
rural areas. This must be understood in terms of
‘push' and ‘pull' factors. Push
factors include high population density, noise, high
crime rates, lack of open green spaces, etc .
Pull factors are the reverse of the push factors
– low population density, plenty of green space,
peace and quiet, perceived lower crime rates.
More generally there has been a response to a
‘rural idyll', an idealization of the rural way of
life. Another important trend has been the migration of
people from the north to the south of Britain, although
the magnitude of this trend has fluctuated over the
years.
Of all regions in England, the South East Region with
Greater London has seen the highest level of both in and
out migration, but with a net outflow. Net international
immigration has come to make a very significant
contribution to migration flows. It seems to have been
“highly focused on the inner areas of London, and a
relatively small number of other places that in turn are
losing population to other areas through internal
migration”.
The report concludes that the various population
movements in England are all linked together:
“There is clear research evidence of the various
population movements being linked together to form a
single national urban system, notably in the form of
London's pivotal role and in terms of the
counter–urbanisation cascade. This is a system in
which international migration appears to be playing an
increasingly crucial role”.
The inter–relationships of international
migration and inter–regional migration (migration
between the 11 standard statistical regions of GB) were
investigated by Hatton and Tani (R60). They conclude that
“immigration to a region of foreign nationals
generates between a third and two thirds as much
out–migration to other regions”. They further
conclude that this varies across regions – the
effect seems to be larger for the southern regions,
especially London, the same regions where the inflow of
foreign nationals is greatest. The authors interpret
their results in terms of British labour market
adjustments.
A recently published study by Dorling and Thomas,
based on the 1991 and 2001 censuses, paints a fascinating
but very complicated picture of changes in distribution
of population, household types, employment, occupation,
health, poverty, car ownership and other matters between
these two dates (R61). The information is primarily
presented in a series of very detailed maps of the
UK.
There has been much talk in recent years of what has
been called the north–south divide in
England: a poorer north and a wealthier south. Associated
with this has been the north to south movement of
population already mentioned. The authors of the present
report conclude that the north south divide has
increased. They identify the dividing line as roughly
running from the Severn to the Humber estuaries –
it is shown in red on the map on page 187. They
conceptualise things in this way. We used to think of the
north and south as each consisting of a group of cities,
towns, villages and countryside. The divide was to a
large extent just a regional one.
Now however, the boundary lies between two
places even more dissimilar from each other, a
Greater London to the south and the rest. The authors use
the term city structure: a dense urban core,
suburbs, parks, and a rural fringe. To the south the city
structures are converging as a single great metropolis
(centering on London), while the north is a
“provincial archipelago of city islands”. So
for example, the old counties of Gloucestershire,
Warwickshire, Leicestershire and Lincolnshire are no
longer counties, but rather city limits of London. And
the commuter belt of the metropolis extends up to the
ends of the M3 and M11, up to Leamington Spa on the M40
and to Chepstow on the M4. Half the population of the UK
now lives within the immediate influence of Greater
London. “Built–up Greater London now extends
as far north as its suburbs of Leicester and Northampton,
as far west as its edge suburbs of Bristol and Plymouth.
Between these places are green fields, but they are now
the parkland of this city. Hardly anyone living near
those fields works on the land”.
The pattern of population movements is complicated.
However, the population of the metropolis has grown, and
the population of the UK is slowly moving south. Thinking
in terms of population density (number of people living
in a district for every hectare in that district),
population density has grown nationally. However, as
people have moved south, densities have increased most in
London and the South East. In contrast, almost all the
falls in density in the UK have been outside the South
East, with the largest fall being in Manchester in the
north.
The economic needs of London drive the whole
population and economic system. In the metropolis are
found the most qualified people and the fewest with no
qualifications. Indeed the centre of the metropolis
swarms with university graduates. The metropolis is the
financial centre, employs the bulk of managers and is the
workplace of preference for professionals.
“Almost no one in the metropolis is sick or
disabled in comparison with the archipelago”. And
“it is in the archipelago islands that people are
most likely to need to care for family or friends who are
ill”, “where most lone parents without work
are found, and where the fewest households have two
earners”. Yet there are fewer doctors and dentists
per head in the archipelago than in the metropolis. The
employment picture is complicated, but it is the north
that has suffered the great upheaval with the decline in
coal mining. The number of people working in skilled
trades has declined, mainly in the north. Likewise the
number of machine operatives have fallen, also mostly in
the north.
For many decades there has generally been a movement
of people from the north to the south However, in some
very recent years, this trend wasn reversed, and Champion
(R62) gives details in his survey of the north-south
flows from 1971 to 2003 to which we now turn.
Champion notes that the net north to south flow dates
back at least to the early 1930s and the Great
Depression, and the net flow continued in subsequent
decades. In recent decades, the process has fluctuated
considerably. The biggest net north to south flows
occurred in the late 1970s and most of the 1980s. This
was followed by a few years(1989 to 1992) where
north–south and south–north flows were
roughly in balance – i.e. very little net migration
either north or south. Then in the 1990s the net flow
north to south developed again, although net flows were
not as large as they has been in in the
1970s–1980s. Then in 2001–2003 there was a
significant reversal of net flows. And the north's net
gain in 2003 was a little over 35,000 people.
Finally, a recent study of internal migration in the
UK by Dennett and Stillwell looks at population stability
in different areas of Britain, using the concepts of
population turnover and churn.
“Turnover is a measure of the intensity of
migration into and out of a district, whereas churn
incorporates these flows and also includes the flows that
take place within each district”.
The authors found that the highest levels of turnover
and churn occurred in London and some other urban areas;
in contrast, “the lowest levels are found in rural
and previously industrial areas”. And rural areas
have high stability despite the substantial net
in–migration to rural areas
(counter–urbanisation). Stability varies between
age groups. The least stable age groups are the 16 to 29
age groups, especially the 20–24 age group, the
most stable the 45 and over age groups, especially the
pensionable age groups (R63).
8b. Ethnic groups
We set the stage by something that was in the version
of this web page before the May 2008 revision:
“According to the 2001 census, in numerous
electoral wards (districts of the country used for census
purposes) white people are now in a minority compared
with the total of all other ethnic groups. While these
wards only make up a small minority of the total number
of wards, in London, Whites are in a minority in all the
electoral wards of two whole boroughs (Brent, 21 wards,
Newham, 20 wards)" (R58). 'In some areas of London and
elsewhere "temples, shops, cafes, cinemas – the
whole ambience – suggest Bombay rather than, say,
Burnley or Southall, Port of Spain rather than Brixton
...' (R 53). For Whites living in such areas, swamping
has become a fact. However, considering that all ethnic
minorities only make up a total of roughly eight per cent
of the total UK population, there is no likelihood of
ethnic replacement of the indigenous population at the
national level in the short or medium term”.
Ethnic minority groups are heavily concentrated in
inner urban areas. However, they have also been taking
part in the counter–urbanisation cascade that was
mentioned above, and now ethnic minoriy persons are found
in all districts of England. The report by Dorling and
Thomas (R61) discussed earlier, provides an interesting
insight into the distribution of ethnic minority
populations in the UK in the section of their work
covering both religion and ethnicity.
In this report each religious and ethnic group is
considered separately. A complicating factor is that the
categories offered to people to identify themselves by
were not identical in the 1991 and 2001 censuses. In
particular, in 2001, several mixed white and other groups
were offered as categories.
Ethnic minorities remain heavily concentrated in urban
areas, particularly in London (however, there has been
some spread from cities to more distant suburbs, small
towns and more rural areas, and we will return to this
movement later). People of Pakistani and Bangladeshi
origin remain very concentrated in areas of initial
settlement. Not only are ethnic minorities concentrated
in urban areas, but they are concentrated in just a few
particular districts; the magic number here is 13. Again
and again we read that roughly fifty per cent of a
particular ethnic group live in just 13 districts. These
are concentrated in London, but also occur in several
midland and northern cities. In terms of religion, the
two largest non-Christian religions are Islam and
Hinduism. The majority of Muslims live in urban areas in
just 20 districts, Hindus live predominantly in suburban
areas, and mainly in 13 districts.
One thing that stands out in the maps is the changing
percentage of the White ethnic group in different
districts (nationally the White population decreased from
94.4 per cent to 92.1 per cent). Here it is better to
look not at the maps on page 45 but the replacement maps
given in the replacement map pages supplied separately to
the main document. Compare these maps with any map of the
UK showing the size and distribution of cities and towns.
You can then see that the greatest falls in the white
percentages have occurred in larger urban areas.
A final word about how the report describes the
distribution of ethnic groups in the UK. The introductory
section of the chapter on religion and ethnicity
says:
“The UK remains a White desert with a few oases
of colour” (page 36).
Now the word desert is associated with barrenness and
desolation. The word oasis is associated with renewal,
and high productivity. We may wonder what would have been
the reaction if the authors had contrasted the
distribution of Whites and ethnic minorities in some
opposite fashion there would have been an outcry and they
would have been accused of being racist and fascist.
White people are entitled to object to this unnecessary
depiction of race. However, there is unlikely to be any
adverse reaction to how the authors describe things from
the politically correct establishment which in our view
is in power generally in the UK.
We turn now to a report by Lupton and Power (R31), as
it provides detailed information on the distribution of
the ethnic minority populations in GB at the time of the
2001 census and changes in these populations since the
1991 census:
In 2001, ethnic minorities were concentrated in large
urban areas. However, each ethnic group was, in
geographical terms, concentrated differently. For
example, the Pakistani population was strongly
represented in Manchester, Lancashire, West Yorkshire,
and midland cities, with a smaller proportion of the
population in London than was the case for Indians. In
contrast, the Black Caribbean population was heavily
concentrated in London, and to a lesser extent in
Birmigham. Through this concentration of ethnic
minorities in large urban areas, most local authorities
in GB had minority populations at, or more usually below,
the national average.
Since 1991, the increase in the number of people from
ethnic minorities has been widespread in GB, occurring in
virtually every local authority area. However, in
numerical terms, the greatest increases have occurred
where minorities were already concentrated, that is
mainly inner urban areas. “This has led to the
greatest percentage point increases in minority ethnic
groups as a share of population in the areas where they
were already well established. In inner urban areas, this
trend has been accompanied by a continuing decline in
white population, leading to significant changes in
overall ethnic composition ”.
The authors were unable to say to what extent
settlement patterns of ethnic minorities were through
choice or constraint. “Nor can we say how much of
the loss of white populations from inner urban areas is
'white flight' from areas that are becoming dominated by
minority groups, or a product of the natural ageing of
white communities, or a product of out-movement for other
reasons ”.
Champion (62) confirms that the increase in the number
of people from ethnic minorities has been widespread. In
terms of the UK's 434 districts in 2001, 244 registered
an increase in non–White population due to
within–UK migration. However, he points out that
things are more complicated than the simple
generalisation of Whites moving out of areas as
non–Whites move in, and the associated notion of
'white flight'. He writes that “many of these 244
districts also had net inflows of White people”.
Further, “a fair number of districts — but
especially London boroughs — that lost White
population through their migration exchanges with the
rest of the UK during this one-year period were also
losing non–Whites through this process”.
A paper by Large and Ghosh (R64) adds further
information about recent (2003) ethnic population
structure in different areas and change over the period
mid–2001 to mid–2003, with particular
reference to the main regions of England. These regions
('Government Office Regions' or GORs) are nine in
number:
North East, North West, Yorkshire and The Humber, East
Midlands, West Midlands, East of England, London, South
East, South West.
London still has the greatest number, the greatest
concentration of peoples of the non–'White British'
population, although the proportion of the total
non–'White British' that is found in London fell
from 44.7 per cent in 2001 to 42.5 per cent in 2003. Of
all the nine regions of England, London has shown the
lowest annual growth rate of the non–'White
British' population. The two regions with the highest
growth rate of the non-'White British', North East and
South West, are the regions with the smallest base of
that population.
Perhaps the most interesting and important facts to
note about London, however are, first that there has been
a pattern of net internal migration of the non-'White
British' population out from London very similar in
magnitude to the net international migration of this
group into London. Second, while the non–'White
British' population has grown in all regions, a
distinction can be made between more and less urban
areas. There is a pattern of the non-'White British'
population growth being driven by international
in-migration in the more urban areas, and, in the more
rural areas, largely by migration from the more urban
areas.
Large and Ghosh went on to discuss different
measurements of the ethnic diversity of different areas,
a topic very relevant to current concerns about
multiculturalism and segregation. One measure of
diversity showed (as the authors say, not surprisingly)
that in terms of Local Authority Districts (LADs), the
most ethnically diverse LADs are concentrated in London,
with Birmingham and Leicester also showing a very high
diversity. Using a different measure of diversity, they
found that Asian Pakistani, Asian Bangladeshi, Black
Caribbean and Black African groups showed the greatest
degree of segregation, the Mixed Groups and the Chinese
the lowest.
If we link this information with the information we
presented earlier in section 6c. we see that Muslim
groups tend to be highly segregated from the rest of the
population.
Finally, Nissa Finney and Ludi Simpson at the Cathie
Marsh Centre, University of Manchester, conclude from
their analyses that most differences in migration
patterns between ethnic groups within Britain are not
primarily differences between ethnic groups per se, but
rather they are caused by socioeconomic and demographic
factors that operate with white groups as well as with
non–white groups (R65, R66). Further, despite some
marked differences in migration patterns between whites
and non–whites, “counter–urbanisation,
a north–south shift and dispersal from areas of
co–ethnic concentration are common to all ethnic
groups. If 'white flight' is to be identified, 'non-white
flight' should be also”. (R65 And see also R66).
However, we think the causation of movement of white and
minority groups and the idea of 'white flight' mentioned
above, deserve further examination. More specifically,
and despite the conclusions of Finney and Simpson, we ask
the question, has internal migration of whites been
partly caused by a wish to move away from areas of high
or increasing ethnic minority concentration, either
through fear of possible adverse effects on society of
this concentration or because of a simple dislike of
'others', of ethnic minorities?
8c. White flight
Until recently, the analysis of movement in terms of
ethnicity has received more attention in the USA than in
the UK. A key figure here is W.H. Frey. In his 1995 paper
(R67) he looked at the possible influences of
international migration (immigration) on internal
migration. In the course of this paper he refers to
‘flight' (pages 733, 736 and 755, and, more
specifically, ‘white flight' page 754).
Frey divided the States of the USA into three
categories: high immigration states, high internal
migration states and high out–migration states. He
notes that one consequence of migration patterns for high
immigration states “is an increase in their
minority populations resulting from immigration dominated
by new minorities – Latinos and Asians and, in some
cases, an out–migration that is largely
white”.
In writing about urban change (what he terms the
‘urban revival') he says that there are
“sharp spatial disparities in the growth patterns
between the nation's white population and its racial and
ethnic minorities”. He concludes that his findings
“suggest that the immigration and internal
migration processes are leading to a greater demographic
balkanisation – a spatial segmentation of the
population by race–ethnicity and
socio–economic status across metropolitan
areas” (see our footnote on 'balkanisation').
Frey notes that in addition to ‘racial
selectivity distinctions in migration', previous research
has shown other important distinctions for
between–area migrations, namely education level and
income level. Thus with the out–migration from high
immigration states: “the out–migration from
these states tends to select on the lower
socio–economic ranks. Their out–migration
rates tend to be highest for whites with
below–poverty incomes, and with low college
graduate education attainment levels”.
In a later paper (R68), the conclusion was reached
that the ethnic displacements examined could be explained
in terms of immigrants being labour substitutes for
domestic migrants who could take advantage of
opportunities in other areas. They could also be
explained in terms of “less well–off,
longer-term residents in high immigration
areas...reacting to perceived increases in social
costs” caused by immigration – higher crime
rates, reduced services or increased local taxes”.
But “in addition, one cannot ignore the
possibility that race and ethnic prejudice may enter into
decisions of native residents, especially whites, to
relocate away from increasingly multiethnic areas in much
the same manner that such prejudice prompted
‘suburban flight' in many American cities in the
1950s and 1960s” (our bold text).
All this gives us some insight into the complicated
relationships between economic, social, and ethnic/racial
differences that may characterise internal migration
streams, and the extent these different factors may
possibly be causal factors, i.e. ‘drivers' of
population movement.
These complicated relationships are also found in the
UK, to which country we now turn. We will however, not
attempt to survey the literature on economic and social
factors. Rather we look for evidence that ‘white
flight' in the UK cannot be explained entirely in terms
of socio–economic ranking, but that one cause is
the movement of whites, for whatever specific reason,
away from areas of high or increasing ethnic minority
concentration.
If we look first at the media, and confine ourselves
just to recent times, we note that early in 2008, Church
of England Bishop Michael Nazir–Ali was saying that
Islamic extremism has made some areas of Britain
‘no–go' areas for non-Muslims (Telegraph 15th
January and 24th February). The black chairman of the
Equality and Human Rights Commission, Trevor Phillips,
supported the bishop, telling the BBC's Radio 4 programme
that “there are areas in which there is no contact
or very little contact between different ethnic and
cultural groups. White flight is accelerating, schools
are becoming more segregated” (Daily Mail 15th
January 2008).
Turning to the academic literature, Gordon and
Whitehead (R69) studied the impact of immigration on the
population of London. In considering how international
migration may have displacement effects on other
Londoners, they wrote that these effects “may
include (i.e. select) a ‘white flight'
element”, and later, Whitehead 2008 (R70):
“may include a ‘white/established household
flight' element”.
Stillwell and Duke-Williams (R71), examined
international migration and internal migration of ethnic
groups on the basis of 2001 census data. One question
they asked was: is there a relationship between
non–white immigration and white internal
migration?
They compared white ethnic groups with the amalgamated
non–white ethnic groups.. Examining all census
districts, they selected the 113 districts in which the
non–white share of the population was over 5 per
cent of the total population. They found that white
internal net migration – movement out of districts
– was highest where non–white (international)
migration was greatest, and the correlation was
significant. The relationship was shown graphically in
their figure 10. However, the authors state that they
were not able to claim a cause and effect relationship.
This illustrates an important general fact, namely,
correlation does not prove causation.
The most direct evidence of ‘white flight' away
from areas of high or increasing ethnic minority
concentration comes from interviews, to which we now
turn.
Halfacree (R72) studied attitudes to urban-rural
migration, making use of interviews. The key perceived
positive social features of the destination (rural areas)
are summarised in table 10 of his paper. This lists seven
points. One is “there were far fewer
'non–white' people in the area”.
Neal (R73) drew attention to various pieces of
evidence provided by other researchers: Increasingly the
perception of an idyllic English countryside has become
associated with white ‘safety', safety from an
urban malaise – English cities that have
“become increasingly diverse ('unEnglish') and
synonymous with an undesirable black/Other
presence”.
In the West country one researcher found that “the
urban to rural migration movement contains people who
openly define themselves as 'refugees from
multiracialism/culturalism”. In Norfolk one
researcher quoted one respondent who explained why some
people “come to Norfolk for 'quality of life' and
the white complexion of the area has something to do with
that quality of life”. And a third researcher noted
there is “a hardcore [urban/rural migrants] who
believe they have left blacks behind in the
city”.
Now we think that ‘white flight' from areas of
high or increasing ethnic minority concentration, is
probably much more extensive than is generally recognised
simply because in the present politically correct
climate, where if any white person expresses any concern
about the effects of ethnic minority immigration they are
immediately labelled as racist or fascist, most people
will not talk openly about white flight. This opinion was
shared by the BBC reporter Vivian White who, after
interviewing residents in the Lancashire town of
Blackburn, concluded that as Asian communities expanded
in Blackburn, many whites moved out in response. But, he
said “... the whole subject of 'white flight' and
why it's happening is something people find difficult to
discuss. They're afraid that if they do, they'll be
labelled as racist” (BBC Panorama programme
7–5–07 , both the BBC transcript and the
'straight report').
We want to point out that ‘white flight' is not
confined to Great Britain and the USA. It probably occurs
widely across Europe. An example comes from The
Netherlands. Zorlu and Latten concluded from their study:
“The propensity to move is relatively high among
natives who reside in neighbourhoods with a higher share
of non–western migrants. The estimates indicate a
segregatory tendency among non–western migrants and
natives. The native movers tend to choose neighbourhoods
with a higher share of natives, while non-western
migrants are less likely to choose native
neighbourhoods”. (R74).
Finally, however, we note some very recently published
work (2009) by Simpson and Finney (R75) in which they
reach a different conclusion about white flight. These
authors examined net migration in terms of percentage of
the 2001 population, to and from areas defined in terms
of degree of concentration of different ethnic groups
– lowest concentration, low concentration, medium
concentration, high concentration and highest
concentration. Considering areas classified as having the
highest concentration of ethnic minority groups, both
White and minority groups moved out of these areas at a
similar rate. This suggests to the authors that to focus
on white flight from areas of high ethnic minority
concentration is misleading, for ethnic minorities are
engaging in the same type of flight. They think that the
movement out of areas of highest minority concentration
“could be considered as non–racial movement
from poor housing”. Further for areas defined in
terms of concentration of Whites, and the highest
concentration areas, minorities show a significant net
out–migration while Whites show a low degree of net
in–migration.
However, looking at the table where they summarise the
flight data, if one looks again at areas defined in terms
of the concentration of ethnic minorities, and in
particular areas classified as medium and high
concentration of ethnic minorities, while both Whites and
minorities show net out–migration, the rate of
out–migration is far greater for Whites than for
minorities. This surely suggests white flight as
generally understood. And the authors do admit that
“the White movement, however, is greater from the
medium quintiles with a lower proportion of minority
residents”.
Footnote. Balkanization.
‘Balkanization' means to “divide (a region
or body) into smaller mutually hostile states or
groups” (The New Oxford Dictionary of English). The
term derives from the area of south-east Europe known as
the Balkans, an area long known for racial, ethnic and
religious tensions and conflict.
Parsons (R 56) wrote about these tensions and
conflicts. He pointed out that there is good reason to
think that change in the proportion of different ethnic
or religious groups in a population can considerably
increase inter–ethnic tensions and be one of the
causes of the outbreak of conflict between groups. He
noted that the former Yugoslavia (part of the Balkans)
provides an example. Before the civil wars which led to
the break up of Yugoslavia, the country had five official
nationalities, 12 ethnic minorities and three major
religions; and deep and longstanding rivalries between
Serbs, Croats, Muslims, and other ethnic groups, were
present long before the beginning of these wars. There
were also differences between the groups in birth and
growth rates, and Parsons speaks of population
competition and competitive breeding .
Return to CONTENTS
We wish to thank the various persons in the Office of
National Statistics (ONS) and in universities who, in
e-mail and telephonic correspondence have attempted to
answer our queries.
For ONS publications, our tables, graphs, histograms
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References
Abbreviations: PT (Population Trends); ONS (Office of
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Appendix to UK
section of this page
Comparison of Projections
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Experimental statistics and fertility
estimation
The fertility estimates of Large and Ghosh are part of
'experimental statistics' about which the acknowledged
limitations of the methodology must be borne in mind when
interpreting the estimates. In particular, the methodology
is based on reliance on 2001 Census data for parameter
estimation. The methodology papers associated with the
statistics give full details of these 'limitations' and the
problems faced in attempting to estimate ethnic group
fertility rates. On the 2001 Census and sizes of ethnic
populations we read that the method used in the
experimental statistics “places great reliance on
using the results of the 2001 Census to identify
differences between ethnic groups”, and estimates of
ethnic population size produced as standard output from the
Census “necessarily fail to reflect rapid growth in
some groups since 2001”. We now add our own comment
that there were considerable criticisms of the Census
methodology and results, following the release of these
results. We gave details of the criticisms on the version
of the UK section of this page that was on the web prior to
July 2004. This version can still be read on our Archive
page (item (b) “The United Kingdom section of the
Population Trends page, as it was before the July 2004
revision of that page”).
On the fertility estimates, Large has written in e-mail
correspondence with us that “ The Population Trends
article describing the methodology underlying the
Population Estimates by Ethnic Group (PEEG) pointed out
that our estimates of the TPFR showed less variation
between ethnic groups than estimated by other researchers,
and that this might be attributable to convergence of rates
over time (our estimates are based on results from the 2001
Census while other studies use earlier data sources) or
an artefact of the different methodologies” (our
italics).
“ A specific aspect of the methodology which was
identified as an issue in the documents supporting the
January 2006 release was the use of mother-infant ratios to
estimate age-specific fertility rates. As was acknowledged
at the time, this approach did not allow for differences
between ethnic groups in patterns of children not linked
with their mother
on a Census form”.
“Following the publication of the Population
Trends article (which described the methodology used in
that initial release), revised Population Estimates by
Ethnic Group were published on 17 August 2006. The
revised estimates used an improved methodology which,
amongst other things, does take account of these 'unlinked'
children. The various changes, together with estimates of
their impact on the estimates, are detailed in the Changes
to Methodology and Revisions paper available at
http://www.statistics.gov.uk/StatBase/Product.asp?vlnk=14238
)”.
Finally, in later correspondence where Large kindly
supplied us with the revised fertility estimates he writes
“Can I emphasise that the implied estimates do not
reflect any direct knowledge of fertility within each
ethnic group since the 2001 Census”.
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