Evaluation, Revision and Extension of Ethnic Population Projections - NewETHPOP

Lead Research Organisation: University of Leeds
Department Name: Sch of Geography

Abstract

Summary
This project aims to understand and to forecast the ethnic transition in the United Kingdom's population at national and subnational levels. The ethnic transition is the change in population composition from one dominated by the White British to much greater diversity. In the decade 2001-2011 the UK population grew strongly as a result of high immigration, increased fertility and reduced mortality. Both the Office for National Statistics (ONS) and Leeds University estimated the growth or decline in the sixteen ethnic groups making up the UK's population in 2001. The 2011 Census results revealed that both teams had over-estimated the growth of the White British population and under-estimated the growth of the ethnic minority populations. The wide variation between our local authority projected populations in 2011 and the Census suggested inaccurate forecasting of internal migration. We propose to develop, working closely with ONS as our first external partner, fresh estimates of mid-year ethnic populations and their components of change using new data on the later years of the decade and new methods to ensure the estimates agree in 2011 with the Census. This will involve using population accounting theory and an adjustment technique known as iterative proportional fitting to generate a fully consistent set of ethnic population estimates between 2001 and 2011.

We will study, at national and local scales, the development of demographic rates for ethnic group populations (fertility, mortality, internal migration and international migration). The ten year time series of component summary indicators and age-specific rates will provide a basis for modelling future assumptions for projections. We will, in our main projection, align the assumptions to the ONS 2012-based principal projection. The national assumptions will need conversion to ethnic groups and to local scale. The ten years of revised ethnic-specific component rates will enable us to study the relationships between national and local demographic trends. In addition, we will analyse a consistent time series of local authority internal migration. We cannot be sure, at this stage, how the national-local relationships for each ethnic group will be modelled but we will be able to test our models using the time series.

Of course, all future projections of the population are uncertain. We will therefore work to measure the uncertainty of component rates. The error distributions can be used to construct probability distributions of future populations via stochastic projections so that we can define confidence intervals around our projections. Users of projections are always interested in the impact of the component assumptions on future populations. We will run a set of reference projections to estimate the magnitude and direction of impact of international migrations assumptions (net effect of immigration less emigration), of internal migration assumptions (the net effect of in-migration less out-migration), of fertility assumptions compared with replacement level, of mortality assumptions compared with no change and finally the effect of the initial age distribution (i.e. demographic potential).

The outputs from the project will be a set of technical reports on each aspect of the research, journal papers submitted for peer review and a database of projection inputs and outputs available to users via the web. The demographic inputs will be subject to quality assurance by Edge Analytics, our second external partner. They will also help in disseminating these inputs to local government users who want to use them in their own ethnic projections. In sum, the project will show how a wide range of secondary data sources can be used in theoretically refined demographic models to provide us with a more reliable picture of how the UK population is going to change in ethnic composition.

Planned Impact

Impact summary
The project will develop new estimates of local ethnic population estimates and components for the 2001-2011 decade and use them to produce new projections of the UK's ethnic transition. To do this we will need to apply demographic methods in innovative ways and to develop a new projection model compatible with ONS's Conceptual Framework for Population and Migration Statistics.

The Office of National Statistics (ONS) will benefit from co-production of revised estimates of ethnic population change. The ONS team and the project team will discuss their respective methods and data sets for revising the 2001-2011 ethnic estimates. Although the ONS revised PEEG estimates and the Leeds/Newcastle NewETHPOP estimates will be separate products, the collaboration will produce aligned data sets. The project may help in moving the PEEG estimates from the status of experimental statistics to official statistics status.

ONS will benefit from use of a full set of estimated migration flows between local authorities in and between all home countries that make up the UK (based on the work of Lomax et al. 2013 and Lomax 2013) and the total out- and in-migration classified by ethnicity which we develop in the project. We note that Eurostat require from the UK statistical agencies information on migration flows between local authorities within the whole country and their aggregations to regions defined in the Nomenclature des unites territoriales statistiques (NUTS). In a previous project Dennett and Rees (2010) supplied migration flow estimates for NUTS 2 regions to Eurostat on behalf of ONS.

ONS have a goal to produce confidence limits in future versions the National Population Projections based on probabilistic projections. We anticipate that our experience in producing probabilistic projections for local ethnic group populations will be helpful for this programme.

We will inform the statistical agencies of the devolved administrations (the Welsh, Scottish and Northern Ireland Governments) of the progress of our work, which will be of considerable interest. The 2011 Census provides ethnic classifications much better harmonised than in the 2001 Census, so we will be able to produce and publish local authority estimates and projections for these home countries.

Working with non-academic partner Edge Analytics, we will disseminate our new estimate and projection data to Local authorities (LAs). They will have access to a new updated set of ethnic population projections via the web interface and database. They will have access to our ethnic component estimates and assumptions for use in their own projections, based on the POPGROUP software. We will consult with colleagues at the Greater London Authority (GLA) and keep them informed of our work. Both Edge Analytics and the Leeds/Newcastle team have carried out work for the GLA. The GLA produce the most comprehensive set of local authority ethnic projections in the UK.

We will also aim to reach a wide variety of other users. The ETHPOP user list has currently ~200 registered users The largest group are academic users (58), NHS users (36) and a government users (36). There are also researchers who use a private account and from organisations such as diabetes.org, mariecurie.org, havenhouse.org, bmecancer and demelza.org. A few subscribers are from newspapers, consultancies and other private sector companies.

Publications

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Lomax N (2019) The impacts of international migration on the UK's ethnic populations in Journal of Ethnic and Migration Studies

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Nawaz R (2019) Long-Term Projections of Domestic Water Demand: A Case Study of London and the Thames Valley in Journal of Water Resources Planning and Management

 
Description EVALUATION
Previous 2001-based ethnic population projections were compared against populations in the 2011 Census. The White population was over-projected and the minority ethnic population under-projected. Our assumption about mortality rate decline (2% pa) was too optimistic compared with the outcome for the decade (1.2% pa). Too many White British, the oldest ethnic group, survived. Also immigration by other groups was under-estimated. The lesson was we needed to improve our ethnic component estimates when updating the projections with 2011 Census data.

REVISION OF ESTIMATES
The projections were extended at local authority scale to all of the UK. We invented methods for reconciling the component rates to the "book ends" of the 2001 and 2011 Censuses. Our mortality estimates used the geographical distribution method, dropping the link to long-term limiting illness. Our fertility estimates employed new census and births data for 2011. Our estimates of internal migration included all UK local authority to local authority flows. Use of 2001 Census Microdata produced better ethnic specific estimates. We reconstructed tables of immigration and emigration by age, gender, region of destination/origin and country of birth from the International Passenger Survey. These tables were combined with census data on country of birth and ethnicity and official estimates of local immigration and emigration to produce better local estimates.

REVISION OF THE PROJECTION MODEL
The ethnic population projection model was re-designed to align with the ONS framework for demographic statistics. Two innovations were introduced: migration was treated as an event rather than a transition; populations at risk were calculated using an iterative method. The bi-regional cohort-component model handles the populations of 389 local authorities and 12 harmonized ethnic groups or 4,668 sub-populations for single years of age to 100+ by gender.

NEW PROJECTIONS
We have produced two ethnic population projections for UK local authorities, based on information on 2011 Census ethnic populations and 2010-2011-2012 ethnic components. Both projections align fertility and mortality assumptions to ONS assumptions. Where they differ is in the migration assumptions. In LEEDS L1 we employ internal migration rates for 2001 to 2011, including periods of boom and bust. We use a new assumption about international migration anticipating that the UK may leave the EU (BREXIT). In LEEDS L2 we use average internal migration rates for the 5 year period 2006-11 and the official international migration flow assumptions with a long term balance of +185 thousand per annum. We compared our LEEDS L2 results against the ONS National Principal projection; our projections reach a UK population in 2061 just above 80 million compared with an ONS population just below. The uplift results from a drift of the population in our subnational projections towards faster growing ethnic groups and local authorities. Our new results suggest faster growth of ethnic minorities and slower growth followed by decline in the White population. There is a continuing diffusion of ethnic diversity to the rest of the country from cities receiving immigrants. This diffusion is greater when ten year internal migration rates are used compared with five year rates.
Exploitation Route We have revised our web site and database to hold our new projections and supply data outputs for others to use.

During the project we have been in frequent discussion with potential users of our projections. For some we have supplied some interim updates but now our full outputs are available. A full account of how to access these are the revised Narrative Impact Report. This report describes the use of our projections in work for Thames Water Utilities Ltd. We investigated water use by ethnic groups and established that per capita consumption by households with an "Asian" (Indian, Pakistani or Bangladeshi) household representative (bill payer) was up to 50 litres per day greater than "non-Asian" households. We then used the PHC and PCC information in conjunction with our ethnic population projections to forecast water demand in the Water Resource Zones of Thames Water. We extended the horizon for projections to 2101 to gauge long-term water demand and converted population projections in household forecasts for households classified by ethnicity of representative, household size and property type, the principal drivers of water demand. To our knowledge, no other work has included projected values of these drivers in water demand.
Sectors Communities and Social Services/Policy,Education,Environment,Healthcare,Government, Democracy and Justice,Other

URL http://www.ethpop.org
 
Description Long-term Population and Property Forecasts for Thames Water
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Membership of a guideline committee
 
Description Long-Term Population and Property Forecasts for Thames Water
Amount £111,250 (GBP)
Funding ID University of Leeds KRISTAL # 107613 
Organisation Thames Water Utilities Limited 
Sector Private
Country United Kingdom
Start 05/2016 
End 09/2017
 
Title Local Ethnic Population Projection 
Description A model has been developed for forecasting sub-national populations classified by ethnicity. The model uses a version of the cohort-component method called bi-regional. The bi-regional model uses internal migration rates between each spatial unit and the rest of the country. This is helpful in computing future populations by 101 ages, 2 genders, 12 ethnic groups and 389 local authorities (4,680 sub-populations by 202 age-gender categories. The software is written in the R language. 
Type Of Material Improvements to research infrastructure 
Provided To Others? No  
Impact Our method has been adopted by other researchers also handling very large "state-spaces". For example, Guy Abel used a bi-regional model for projecting world country populations in World Population and Human Capital in the Twenty-First Century (edited Lutz W, Butz W and KC S (ed) (Oxford University Press, 2014) 
 
Title ETHPOP Database and Repository 
Description The results of two projections of UK local authority-ethnic group populations are provided: (1) in an online database which uses can select small subsets of interest and download those extracts (2) in a repository of zip archive files which can be selected and downloaded (3) in a large zip archive of all outputs deposited at the UK Data Archive as SN 852508 NEWETHPOP - Ethnic population projections for UK local areas 2011-2061 (see ;http://reshare.ukdataservice.ac.uk/852508/) 
Type Of Material Database/Collection of data 
Year Produced 2017 
Provided To Others? Yes  
Impact Our online database has been used by local authorities interested in the future composition of their populations by ethnicity, by the British Army and the Police Service interested in matching their recruitment with local ethnic population profiles. We are talking to the Office of National Statistics about using our projections as a comparator dataset for their Administrative Census project which is estimating local populations by ethnicity using administrative and survey data. We have used our database intensively in a project for Thames Water Utilities Ltd in a project for forecasting water demand for the TW Water Supply region, from 2011 to 2101 
URL http://www.ethpop.org
 
Description EDGE ANALYTICS LTD, Leeds 
Organisation EDGE Analytics Limited
Country United Kingdom 
Sector Private 
PI Contribution EDGE Analytics is a consultancy company that delivers research to UK Local Authorities and companies. We have supplied them with the inputs to and outputs from our two main ethnic population projections. They will re-process the estimates and assumptions for fertility, mortality, internal migration and international migration by ethnicity, so they can be used in the POPGROUP software for projecting local authority populations. This system is owned by the Local Government Association and EDGE maintain and disseminate the software (EXCEL based) to local authority, devolved administration and private company clients.
Collaborator Contribution See above. The contribution is to re-purpose our inputs and outputs for use by local authorities
Impact EDGE plans to complete the re-purposing of our inputs and outputs in 2018.
Start Year 2015
 
Description LONG-TERM POPULATION AND PROPERTY FORECASTS FOR THAMES WATER 
Organisation Thames Water Utilities Limited
Country United Kingdom 
Sector Private 
PI Contribution Thames Water invited the School of Geography at the University of Leeds to deliver projections of the populations and households in the Thames Water supply region. Our expertise in ethnic population projection was considered an essential input to Thames Water's strategic assessment of future water demand. Prior work has shown that there were clear differences between ethnic groupings in their domestic consumption of water. Our research using Thames Water's Domestic Water User Survey data established that the difference in per capita consumption between households with an Indian, Pakistani and Bangladeshi head (household representative person) and households with heads in other groups was 50 litres per day. As an input to Water Demand Forecasts we used our two NewETHPOP projections (1) a MID projection aligned to ONS assumptions and (2) a LOW projection aligned to ONS assumptions but with different assumptions for international migration reflecting lower net international migration under Brexit). We added a third projection to these two that assumed a HIGH net international migration flow, as observed in 2015-2016. The projections were extended from an end date of 2061 to an end date of 2101, to meet Thames Water's strategic planning objectives.
Collaborator Contribution Thames Water asked us to extend our projections to 2101 from 2061. Such long-term sub-national projections have not been implemented by the Office for National Statistics (ONS) nor by the Greater London Authority (GLA) with respective end dates on 2039 and 2050. Thames Water asked us to develop household projections from the population projections and provided intensive feedback on our model for household water consumption by occupant number, property type and ethnicity. We have submitted a paper on this work to the Journal of Water Resource Management. Thames Water asked us to compare our projections with those of ONS, GLA and EDGE Analytics (a consultancy contracted to deliver property based projections to 2045). This comparison showed that our projected populations out to 2050 were higher than those of the other organizations for two TW Water Resource Zones: the London WRZ and the Slough-Wycombe-Aylesbury WRZ, but were lower for the other 4 WRZs outside London produced by EDGE. Our projections were higher for WRZs with high ethnic diversity, reflecting the higher growth potential of ethnic minorities compared with the majority White British and Irish group. Our projections were lower for WRZs with low (though increasing) ethnic diversity because our internal in-migration projections based applying recent internal migration rates were lower than the in-migration associated with local authority housing plans projected by EDGE.
Impact We are in process of writing up the following papers from journal publication: Nawaz R, Rees P, Clark S, Mitchell G, McDonald A, Lambert C & Henderson R (2018) Domestic Water Demand in the Thames Region: A Model for Use in Preparing Long-Term Projections. Submitted to Water Resources Management. Nawaz R, Rees P, Clark S, Mitchell G, McDonald A, Kalamandeen M, Lambert C & Henderson R (2018) Long Term Domestic Water Demand Projections for London and the Thames Valley. In draft, target journal Water Resources Management. Rees P, Clark S, Nawaz R, Lambert C & Henderson R (2018) Projecting populations and households for subnational areas over the long-term: Application in water demand forecasts for Thames Water. In draft, target journal Applied Spatial Analysis and Policy. Rees P, Clark S, Wohland P, Kalamandeen M, Boden P, Jasinska M, Tonkins W, Corr B, Lambert C & Henderson R (2018) A comparison of sub-national population projection methods, assumptions and results: a case study of the Thames Water Region. In draft, target journal Population, Space and Place. Rees P, Norman P & Wohland P (2018) Development of an Ethnic Fertility Convergence Scenario. In draft, target journal Population Studies. This collaboration involves population geographers (Rees, Boden), computer scientists/statisticians (Clark, Tonkins), environmental scientists (Nawaz, Kalamandeen), environmental geographers (McDonald, Mitchell), water managers (Lambert, Henderson), demographers (Corr).
Start Year 2016
 
Title NewETHPOP: software for projecting local authority-ethnic group populations 
Description See Research Tools and Methods R code for implementing a bi-regional cohort-component model for a large set of sub-populations 
Type Of Technology Software 
Year Produced 2016 
Impact The software with associated inputs was used to project local authority-ethnic group populations for the whole UK (see www.ethpop.org). The software was used to extend the NewETHPOP projections to 2101 as part of a project on future water demand undertaken for Thames Water Utilities Limited