Mid year Population Estimates Age Structure€¦ · population has been increasing and according to...

Birmingham Demographic Briefing – 2020/Population Estimates

Transport & Connectivity, Inclusive Growth Directorate, www.birmingham.gov.uk/census [email protected] 121 303 4208

Mid‐2019 Mid‐year Population Estimates The Office for National Statistics (ONS) estimates that Birmingham’s resident population was 1,141,800 in 2019. This is an increase of 91,700 (8.7%) since 2009 and 400 (0.04%) since 2018. This is the slowest year on year rate of growth for the period between 2001 and 2019. Contributory factors include increases in emigration and the number of people leaving to live elsewhere in the UK alongside decreasing fertility rates. Age Structure

Figure 1 is an age pyramid of Birmingham’s population. Each line in the pyramid represents a single year of age in the population. The size and make‐up of the population is determined by births, deaths and migration that have taken place in previous years. Some key points from the pyramid are:

It shows that there are fewer people in the older age groups than in the younger, illustrating Birmingham’s young age structure.

It also shows differences between the sexes ‐ there are more males than females in the younger age groups up to 18. There are generally more females than males in the adult ages.

The difference between the number of males and females is most marked in the oldest age groups, reflecting greater female longevity.

The bulge around the early 20’s is due largely to students coming to the city’s Universities and is also influenced by international migration.

The narrowing around the age of 16 reflects declining births around the turn of the Century, where births were below 15,000.

The contracting of the base is due to the decreasing birth numbers of recent years. There were 15,706 births in 2018‐19 compared with 17,766 births during 2011‐12 Birmingham.

Figure 1: mid‐2019 mid‐year population estimates

Source: ONS, mid-2018 population estimates, Crown Copyright 2020



Figure 2: 2019 mid‐year population estimate: Birmingham and England age pyramid

The pyramid in figure 2 shows that Birmingham has a youthful age profile. Compared with England, Birmingham has more people in the younger ages and less in the older age groups. Table 1 shows a regional and national comparison for broad age groups. The proportion of children in Birmingham (22.7%) is markedly higher than in the region (19.7%) and England (19.2%). At 13.1% Birmingham has a relatively small proportion of pensioners compared with the regional (18.6%) and national (18.4%) averages. Table 1: Broad age Structure, 2019

England West Midlands Region Birmingham

number percent number percent number Percent

Children (0‐15) 10,816,679 19.2 1,167,844 19.7 258,771 22.7

Working age (16‐64) 35,116,566 62.4 3,660,831 61.7 733,627 64.3

Pensioners (65+) 10,353,716 18.4 1,105,362 18.6 149,418 13.1

All 56,286,961 100.0 5,934,037 100.0 1,141,816 100.0

Source: ONS, mid‐2019 population estimates, Crown Copyright 2020



Figure 3 shows Birmingham age structure compared with other core cities, Birmingham (22.7%) has the greatest proportion of children, Liverpool (17.5%) the least. The only other English core cities above the national average for proportion of children is Manchester (20.2%) and Leeds (19.4%). At 64.2% Birmingham ranked bottom for the proportion of working age population. Manchester was ranked top with 70.5%. All core cities were below England average for the proportion of pensioners, Sheffield (16.1%) ranked highest of the core cities and the Manchester (9.3%) the lowest.

Children = 0-15 years Working age = 16-64 years Pension age = 65+ Source: ONS, mid-year population estimates. Crown Copyright 2020

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Figure 3: mid 2019 age by broad groups – Core cities



Population Change

Source: ONS, mid-year population estimates, 2002-2010 revised May 2013, 2012-2016 revised March 2018. Crown Copyright 2020 Figure 4 shows population growth in Birmingham since 2001. Birmingham’s population has been increasing and according to the 2018 mid‐year population projections, this trend is set to continue but at a slower rate. The 2019 mid‐year population estimate point to a population increase of around 91,700 (8.7%) since 2009 or an average rate of 0.9% per year. The increase in Birmingham’s population is due to natural change (more births then deaths) and international migration, although the trend of losing Birmingham residents to surrounding areas continues. The 2018 base population projections point to an average rate of increase of 0.6% per year to 2028.

Figure 4: Mid‐year population estimates, Birmingham, 2001 ‐ 2041



Figure 5: Birmingham population change 2018‐2019

Source: ONS, population estimates 2018, Crown Copyright 2020 Figure 5 shows population change 2018‐2019 by five –year age groups. Growth is strongest for early teens, people in their late twenties and late fifties. There were notable decreases of around 1,900 pre‐school children and 1,600 people in their late forties. Figure 6: Birmingham population change 2009‐2019

Source: ONS, population estimates, Crown Copyright 2020 Figure 6 shows the population change in Birmingham over the last 10 years. There were increases for all age groups except for those in their early forties or late seventies. Young people in their twenties and primary age children show the greatest numerical increases.



Figure 7: 2001 to 2019 Population growth for broad age groups in Birmingham

Source: ONS, population estimates, Crown Copyright 2020 Figure 7 shows the population growth was strongest for the working age population, the growth in numbers of pensioners declined during the first decade of the new century, 2013 saw the numbers return to what they were in 2001 and have since been on the increase. Figure 8 shows Birmingham growth over the past decade by broad age group compared with other core cities. Birmingham has greatest overall numerical growth, not surprising given that it is the largest Local Authority. However, Manchester is the fourth largest core city, but absolute growth was significantly greater than larger core cities Leeds and Sheffield. The strongest population growth for all core cities except Leeds, was attributed to the working age population. Children showed the strongest population growth for Leeds. Figure 8: Population change 2009 to 2019

Source: ONS, population estimate, Crown Copyright 2020



Figure 9: 2009 to 2019 Components of population change – Birmingham

Source: ONS, population estimates, Crown Copyright 2020

Table 2: Components of change in Birmingham’s population 2009‐2019

2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018

2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019

1,039,000 1,050,100 1,061,100 1,074,300 1,085,200 1,092,200 1,101,500 1,113,000 1,128,100 1,137,100 1,141,400

births 17,500 17,100 17,500 17,600 17,500 17,200 16,800 17,200 17,000 16,200 15,700

deaths 8,400 8,200 8,100 8,000 8,400 8,200 8,700 8,400 8,500 8,600 8,200

net 9,100 8,800 9,400 9,600 9,100 9,000 8,200 8,700 8,500 7,600 7,500

in 38,400 38,300 38,000 42,300 40,800 42,500 42,900 43,300 51,100 50,300 52,000

out 43,400 44,900 43,600 45,500 46,500 47,600 47,400 47,800 58,800 60,700 63,500

net ‐5,100 ‐6,600 ‐5,500 ‐3,200 ‐5,600 ‐5,100 ‐4,500 ‐4,500 ‐7,600 ‐10,400 ‐11,600

in 13,100 13,300 16,100 11,700 12,000 13,700 15,800 17,700 14,200 16,100 16,500

out 8,500 6,900 8,600 7,200 8,600 8,300 7,900 6,900 5,900 9,000 12,100

net 4,600 6,400 7,500 4,500 3,400 5,400 7,900 10,800 8,300 7,200 4,400

‐500 ‐200 2,000 1,300 ‐2,200 300 3,400 6,300 700 ‐3,200 ‐7,200

‐100 0 0 0 100 100 0 0 0 ‐100 1000 0 0 0 0 0 0 100 0 0 0

2,600 2,500 1,800 0 0 0 0 0 0 0 0

11,200 11,000 13,300 11,000 7,000 9,400 11,500 15,200 9,100 4,300 400

1,050,100 1,061,100 1,074,300 1,085,200 1,092,200 1,101,600 1,113,000 1,128,100 1,137,200 1,141,400 1,141,800

Internationa l migration

overa l l net migration

Internal migration

start

end

start population

Natura l change

End population

specia lother changesUPC

al l population change

Population estimates for 2006 – 2010 revised May 2013, 2012 – 2016 revised March 2019. Source: mid-year population estimates, ONS. Crown Copyright 2020

Figure 9 shows the components of population change in Birmingham since 2009. In all years, natural change and international migration has added to the population. More people leave Birmingham than come to live here from elsewhere in the UK, continuing a longstanding trend of out migration. Table 2 provides a more detailed breakdown, it shows that over the past decade net migration to Birmingham for people living overseas averaged 6,400 per year. This compares with a loss of 6,300 people per year migrating to other parts of the UK and an additional 8,700 people on average from natural change.



Appendix 1 How are 2018 Population estimates calculated? The basis for population statistics is the Census, which is carried out every 10 years. The Office for National Statistics (ONS) produces population estimates annually during the period between Censuses. Estimates are produced for each local authority. They show the composition of the population by age and sex. They relate to the position at the end of June, and so are known as Mid‐Year. The Mid‐2019 estimates were published in June 2020 and revisions to 2002‐2010 were issued in May 2013 and revisions to 2012 to 2016 issued March 2018. The resident population of an area includes all people who usually live there, whatever their nationality. However, short‐term residents are not included (stay below 12 months). A student is counted as resident at their term‐time address. The population estimates are produced by the ‘cohort component’ method. This takes the population at the previous mid‐year, and adds a year 1to the age of each resident. The new population is estimated by:

• Adding births during the year • Subtracting the number of residents who died during the year • Adding in‐migrants into the area and deducting out‐migrants • Adjusting for special populations

Data on births and deaths are basically reliable. There is no system for recording migration. Migration within the UK is estimated using data from registrations with NHS General Practitioners. It is believed that some groups, such as young men, are likely to delay re‐registering after a change of address. This may affect university cities, where students may remain on a GP’s register after leaving the area. Data on international migration is calculated using the International Passenger Survey (ISP). These estimates are supplemented by administration sources. Migration statistics are the least reliable component of population estimates. Internal migration This is an estimate of people moving within the UK. Flows of migrants between England & Wales and Northern Ireland or Scotland are known as cross border flows. The 2019 population estimates used 4 data sources

Patient register data service (PRDS): Each former health authority provides an extract of patients registered with GP’s as at 31st July. The individual registers held by health authorities are combined to obtain a patient register for England and Wales and then cleaned. These records are compared to one

1There are also special populations such as prisoners and members of the armed forces. These populations are not aged on, having specific age structures which remain fairly static over time



the previous year. This process identifies people who have changed postcodes during the period. Thereby, recording them as an internal migrant.

National Health Service Central Register (NHSCR): This records the movements of patients between health authorities and is combined with the individual patient registers held by the health authorities to produce estimates of migration flows between LA’s. This register was discontinued in February 2016. Therefore migration estimates for 2016 were a combination of the 2016 patient register and 2015 NHSCR. The move to the Personal Demographic Service has been made for 2017 estimates.

Personal Demographic Service (PDS): This records movement of patients between health authorities and is combined with the patient register held by the individual former health authorities. The PDS is a new data source and records more moves than the NHSCR did. ONS do not know why.

Higher Education Statistics Agency (HESA): From 2012 data from HESA has been linked to health registration data. HESA records show where universities have recorded the students as living. It is now possible to get a good estimate of the number of students moving into an area. However, this method could not account for students who were leaving the area on completion of their study and were slow to update their health records. A model was designed to move back those who were slow to update their records back to their previous health registration address over time. The method for estimating out‐migration of students was developed further for the 2017 migration estimates ‐ Higher Education Leavers Methodology (HELM).

Higher Education Leavers Methodology (HELM): This method distributes students for which there is no longer a HESA record (they have left higher education) and who have not updated their health record within the first year of leaving higher education. The proxy used is the movement of previous students who did not update their records within 12 months of leaving of higher education. This means their destination may be any of the 348 local authorities not just their previous GP registration local authority area. The previous method of distributing higher education leavers (who did not update their health records) to local authorities did so over time to the previous health registration address. The new method distributes the former students to their destination in the first year after finishing higher education. However, a study of previous higher education leavers shows that some moves were recorded in the 2nd or 3rd year of leaving higher education. This is offset to some extent, it could be that some of these recorded later moves may have happened sooner due to time lags in re‐registering with a GP. A further offsetting could be those that did not change their GP details in any of the 3 years following study may have actually left but not updated health records.



International Migration An international migrant is a person who changes their country of residence for at least a year. International migration estimates are made up of immigration, emigration, asylum seekers and refugees and their dependents. International Passenger Survey (IPS) National estimates of population are based on the IPS, this is an ONS survey that operates at UK ports of arrival and departure. The goal is to identify people who intend to stay or leave the UK for at least 12 months. This is a sample survey, so only some of the migrants are interviewed and of those only a small proportion will be long‐term international migrants. The responses obtained are scaled to produce a national migration estimate. Some local authorities may have low or no representation in the IPS sample. Also, migrants may change what they said they would do, so the IPS is not suitable for obtaining international migration estimates. Local authority estimates for international migration are derived using a variety of data sources and methods: Visitor switchers and migrant switchers: A migrant switcher is a person who said they were coming for over 12 months but actually departed within a year. A visitor switcher is a person who said they were coming for less than 12 months but stayed for longer. Migrant and visitor switchers are identified by the IPS as they complete their journey. An estimate of switchers is calculated for the proportion of migrants who changed their minds about the duration of their stay. Immigration‐local authority estimates: a variety of data sources are used Migrant workers scan (MWS)‐ this is the main source used to distribute immigrant workers, it provides a count of foreign nationals applying for National Insurance numbers. Customer Information System (CIS) ‐ CIS contains a record for all individuals who have registered and been issued with a National Insurance number and it enables MWS, HESA, PRDS to be more accurately linked together, (this only applies from mid‐2015 onwards). Higher Education Statistics Agency (HESA) data – is used for distributing publicly funded higher education and private higher education students. Administrative data sources from Department of Business, Energy and Industrial Strategy (BEIS) and Welsh Government (WG) – this is used to distribute further education student immigrants from the EU. Census data – this is used for distributing returning UK‐born migrant flows. Patient Register Data Service (PRDS) – FLAG 4 registrations are used alongside other administrative sources to distribute the remaining immigrants – children, those aged 17‐59 who are not students or workers and those aged 60 and over.



Age structure The 2011 Census data on immigrants has been used to group local authorities into clusters with similar age and sex structures. The sex and age distribution is based on the average sex and age distribution of the cluster group. International emigration A statistical model is used to estimate emigration at local authority level. The relationship between the estimate of immigration from the IPS and estimates from other data sources (covariates) is used to produce a more robust estimate of emigration than using the IPS alone. The model requires a response variable and covariates. The response variable is the weighted estimate of emigration (based on a three year average). The covariates are from the census, administrative and survey data that have been found to have a strong relationship with emigration at local authority level. Covariates are:

• Usual residents with limiting of long‐term illness • Usual residents with Mid‐or Far East‐Asian country of birth • Usual resident of Oceania country of birth • Usual residents of North American country of birth • Usual residents of South – Asian country of birth • Usual resident living in hostels • Accommodation owned with mortgage • Accommodation rented • Retired people • Employed aged 16 and over • Number of births with country of birth of mother EU2 • Number of births with country of birth of mother EU8 • EU Students ( excluding the UK) in higher education in final year of study aged

20 to 25 • Migrant workers ofEU8 nationality • International in‐migration estimates for the year of interest • GP registered patients aged 5 to 15

The modelled estimates at the local authority level are constrained to the IPS estimates at the regional level. The sex and age breakdown is obtained by combining 2011 Census data with the IPS data. This process groups local authorities into clusters based on sex, age and citizenship data. Census data for immigrants is used to classify local authorities into clusters that have similar patterns of UK and non‐UK born migration as a proportion of the total population. Immigration data is used as emigration data is unavailable. It is assumed that immigration data is likely to show similar patterns of UK born and non‐UK born migration to that shown in emigration patterns at local authority level. Using the local authority clusters derived from the census, IPS data for emigrants are used to create a distribution by citizenship (British, non‐British) and sex for each cluster. It is assumed that British and non‐British emigrants are likely to have different age structures. Three years of IPS data is used to provide a detailed single year of age distribution, by citizenship and sex.



Asylum seekers and dependents The UK Border Agency provides ONS with data about asylum seekers and their dependents. Any asylum seeker flows captured by the IPS are excluded from process, this ensures that flows are not double counted. Asylum seeker flows are only available at regional level. Local authorities have records for those that received support from the National Asylum Support Service (NASS). There are no records at local authority level for those that claim asylum but not support. When distributing asylum seekers to local authorities 60% are assumed to receive support and 40% are unsupported. The 60% assumed to be receiving support are distributed using the local authority distribution for those receiving support for accommodation. The remaining 40% are assumed to have the same geographical distribution as those given subsistence‐only support by NASS. Refugees The Home Office operates a number of international resettlement schemes, eligible people are granted humanitarian protection, while they are referred to as refugees, they do not strictly have refugee status. Refugees are now a separate component of the mid‐year population estimates. Any inflows of refugees captured by the IPS are discounted, to prevent double counting as the home office supplies an extract of the resettlement database to ONS. The database includes information on age, sex and citizenship of the refugees. For those entering under the Syrian Vulnerable Persons Resettlement Scheme (SVPR) information on their initially assigned local authority is also available. This initial local authority is assigned as their place of usual residence. It is thought that outward flows of refugees would be very small, but ONS suggest this would be covered by the IPS as they leave their port of departure. Special populations UK Armed Forces (UKAF) are treated as a special population as movements of military personnel are not captured by the data sources used to estimate international and internal migration. It is assumed the UKAF personnel are not on GP registers, however dependents will be on GP registers and are not part of the special population. The Ministry of Defence (MOD) supply data by sex and age of UK armed forces by sex and age, partners and dependents. Foreign armed forces based in England and Wales are treated as a special population in the population estimates as it is assumed that they are also not picked up by the methods used to estimate internal and international migration. Prisoners are treated as special population. The Ministry of Justice supplies data on the number of people resident in prisons in England and Wales on 30 June of the reference year, by prison location, sex and age. For the purposes of the population estimates, a person is regarded as usually resident in a prison if they have been sentenced to serve six months or more.



Table 2: 2019 Mid‐year population estimate: usual resident population by five‐year age group – Birmingham

age males females total0-4 41,900 39,700 81,6005-9 42,800 40,000 82,800

10-14 41,000 38,400 79,40015-19 40,200 39,200 79,40020-24 52,100 53,200 105,30025-29 49,800 48,000 97,80030-34 41,500 41,200 82,70035-39 37,600 38,600 76,20040-44 33,300 33,700 67,00045-49 33,000 33,700 66,70050-54 32,000 33,500 65,50055-59 29,000 30,400 59,40060-64 23,800 24,700 48,50065-69 20,400 21,100 41,50070-74 16,900 19,200 36,10075-79 12,500 15,200 27,70080-84 9,600 12,600 22,20085-89 5,600 8,400 14,000

90+ 2,600 5,500 8,100565,500 576,300 1,141,800

2019 population by five-year age groups

Birmingham

Totals may not add due to rounding Source: ONS, 2019 mid‐year population estimates, Crown Copyright 2020



Appendix 3 2018‐based Subnational Population Projections ‐Birmingham

thousands2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039 2040 2041 2042 2043

0-4 83.5 82.3 81.4 80.3 79.3 79.1 79.2 79.3 79.4 79.6 79.9 80.2 80.5 80.8 81.3 81.8 82.4 83.1 83.8 84.6 85.4 86.3 87.1 87.9 88.6 89.2

5-9 83.4 83.4 83.9 84.0 83.2 81.9 80.6 79.6 78.5 77.4 77.2 77.2 77.2 77.3 77.5 77.8 78.0 78.3 78.6 79.0 79.5 80.0 80.7 81.4 82.1 82.9

10-14 78.4 79.9 80.3 80.6 82.0 82.4 82.5 82.8 82.9 82.1 80.8 79.6 78.6 77.5 76.5 76.2 76.2 76.2 76.3 76.4 76.6 76.9 77.1 77.4 77.8 78.3

15-19 79.7 80.6 81.2 82.5 84.2 86.2 87.7 88.5 89.2 90.7 91.1 91.5 92.0 92.2 91.1 89.8 88.6 87.6 86.3 85.2 84.6 84.6 84.6 84.6 84.7 84.9

20-24 104.6 104.3 104.7 104.2 103.4 103.1 103.2 103.7 105.4 107.6 110.2 112.3 113.8 115.1 117.1 117.8 118.0 118.1 118.0 116.8 115.4 113.8 112.4 110.9 109.7 109.0

25-29 96.6 98.2 98.4 97.5 96.5 95.7 94.9 94.6 93.7 92.5 91.9 91.7 92.1 93.5 95.6 98.0 99.8 101.4 102.8 104.4 105.0 105.3 105.5 105.3 104.3 103.1

30-34 83.0 83.8 84.8 86.7 88.2 89.2 90.2 90.0 89.0 88.2 87.4 86.7 86.2 85.3 84.1 83.4 83.3 83.6 84.9 86.9 89.1 90.8 92.3 93.6 95.1 95.7

35-39 77.1 77.0 76.5 76.5 77.0 77.2 77.9 78.7 80.2 81.3 82.0 82.7 82.4 81.6 80.8 80.2 79.5 79.0 78.0 76.9 76.3 76.1 76.4 77.6 79.4 81.5

40-44 66.6 67.4 69.0 70.2 71.1 72.2 72.2 71.9 71.9 72.3 72.5 73.2 73.9 75.1 76.1 76.7 77.2 76.9 76.1 75.4 74.8 74.2 73.7 72.8 71.7 71.1

45-49 68.3 67.1 65.8 64.8 63.7 63.1 63.9 65.3 66.5 67.4 68.6 68.7 68.4 68.4 68.8 69.1 69.7 70.3 71.5 72.4 72.8 73.3 73.0 72.2 71.6 71.0

50-54 65.7 65.8 65.8 65.8 65.6 64.8 63.7 62.5 61.4 60.3 59.8 60.4 61.8 63.0 63.9 65.1 65.2 65.0 65.0 65.4 65.7 66.3 66.9 67.9 68.7 69.1

55-59 58.4 59.6 60.8 61.6 61.6 61.8 61.8 61.8 61.8 61.6 60.9 59.8 58.6 57.6 56.6 56.1 56.7 58.1 59.1 60.1 61.2 61.3 61.2 61.3 61.6 61.9

60-64 48.0 48.7 49.8 51.0 52.6 53.9 55.0 56.1 56.9 56.9 57.1 57.2 57.2 57.2 57.1 56.4 55.4 54.3 53.3 52.4 51.9 52.6 53.8 54.8 55.8 56.8

65-69 41.1 41.6 41.7 42.2 42.8 43.4 44.1 45.0 46.2 47.6 48.9 49.9 50.9 51.7 51.8 52.0 52.1 52.1 52.1 52.0 51.4 50.5 49.6 48.7 47.9 47.5

70-74 36.1 36.2 36.7 37.0 36.2 36.2 36.6 36.7 37.2 37.7 38.3 39.0 39.8 40.9 42.2 43.4 44.4 45.3 46.0 46.1 46.4 46.5 46.5 46.6 46.5 46.0

75-79 27.3 27.7 28.2 28.8 30.3 31.0 31.1 31.6 31.8 31.2 31.2 31.6 31.7 32.1 32.7 33.2 33.8 34.6 35.6 36.8 37.9 38.8 39.7 40.3 40.5 40.8

80-84 21.7 22.1 21.9 21.2 21.1 21.4 21.9 22.3 22.8 24.1 24.7 24.9 25.3 25.5 25.1 25.1 25.4 25.6 25.9 26.4 26.9 27.5 28.3 29.1 30.2 31.1

85-89 13.9 13.9 13.9 14.1 14.2 14.3 14.5 14.4 14.1 14.0 14.3 14.8 15.1 15.5 16.5 17.0 17.1 17.4 17.6 17.4 17.5 17.7 17.9 18.2 18.6 19.1

90+ 7.8 8.0 8.2 8.3 8.4 8.5 8.5 8.6 8.8 9.0 9.1 9.2 9.3 9.2 9.3 9.6 10.0 10.2 10.4 11.1 11.6 11.8 12.1 12.2 12.4 12.7

A ll age 1,141.4 1,147.6 1,152.8 1,157.3 1,161.5 1,165.5 1,169.5 1,173.4 1,177.5 1,181.8 1,186.0 1,190.4 1,194.9 1,199.5 1,204.0 1,208.4 1,212.7 1,217.2 1,221.5 1,225.8 1,230.0 1,234.3 1,238.6 1,243.0 1,247.4 1,251.7

Broad ages0 to 15 259.8 260.6 261.0 260.9 260.3 259.7 258.7 257.6 257.1 256.2 254.6 253.4 252.6 252.0 251.5 251.2 251.8 252.8 253.9 255.2 256.8 258.5 260.2 262.1 263.9 265.8

16-64 733.6 737.6 741.3 744.8 748.1 751.0 754.1 757.1 759.5 761.8 764.8 767.6 770.1 772.6 775.0 776.9 778.1 779.0 779.8 780.7 781.6 782.9 784.4 785.7 787.3 788.8

65+ 147.9 149.4 150.5 151.6 153.1 154.9 156.7 158.7 160.9 163.7 166.6 169.3 172.2 174.9 177.6 180.3 182.8 185.3 187.7 189.9 191.6 192.9 194.0 195.2 196.1 197.1

1,141.4 1,147.6 1,152.8 1,157.3 1,161.5 1,165.5 1,169.5 1,173.4 1,177.5 1,181.8 1,186.0 1,190.4 1,194.9 1,199.5 1,204.0 1,208.4 1,212.7 1,217.2 1,221.5 1,225.8 1,230.0 1,234.3 1,238.6 1,243.0 1,247.4 1,251.7

Source: ONS, Crown Copyright 2020. Transportation & Connectivity, Economy Directorate, www.birmingham.gov.uk/census, [email protected], 0121 303 4208

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