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Auditing	a	divided	
nation:
A	new	map	of	Britain’s	changing
economy	and	society	1841-2021
Humphrey	Southall
What do	I	mean	
by	an	“audit”?
• ”An	independent	examination”
• My	title	is	meant	to	refer	to	both:
• What	the	Census	[of	Population]	does,	and	has	
done	for	the	last	215	years
• What	my	team	does	with	the	data	from	all	those	
censuses,	and	some	other	sources
• In	practice,	that	does	mean	doing	a	lot	of	arithmetic	
– not	really	math	– with	an	awful	lot	of	numbers
Structure	of	lecture
• A	very	brief	word	on	sources	and	methods
• My	aim	today	is	to	talk	mainly	about	Britain	and	its	
changing	localities
• The	changing	economic	base	of	Britain’s	localities	
1841-2011
• Presenting	new	data	from	nine	censuses
• An	overview	of	the	changing	geography	of	William	
Beveridge’s	five	“Great	Evils”
• So	what?	– why	does	this	historical	research	matter	
now?
• I	will	be	giving	two	rather	different	answers
Sources	and	Methods
• Most	of	today’s	lecture	is	based	on	data	from	
published	reports	of	the	Census	of	Population
• 1881	statistics	based	on	Mormon	microdata
• Some	data	from	vital	registration	and	C19	trade	unions
• Once	the	pages	have	been	converted	to	computer-
ised numbers,	not	just	scans,	two	tasks	remain:
• Re-districting,	using	GIS-based	methods:	almost	
everything	presented	today	is	for	current	local	authority	
districts,	as	directly	reported	on	by	the	2011	Census
• Re-classifying from	historical	classifications	to	modern:	
all	industrial	structure	data	today	presented	using	the	
Standard	Industrial	Classification	(2007)	…
Mapping	
1841	jobs	
to	SIC	
2007
“Ask	the	vicar”:	parishes	
reporting	manufacturing	in	
1831
• The	first	four	censuses	
up	to	1831	relied	on	the	
personal	knowledge	of	
parish	priests
• In	1831	they	tried	to	
gather	more	detail	on	
occupations,	but	most	
parishes	recorded	
nobody in	manufactures
• So	we	must	start	in	
1841,	the	first	census	to	
be	gathered	through	a	
household	enumeration
Industrial	Structure	of	England	
and	Wales	1841-2011
Industrial	structure	results
• Data	from	nine	censuses,	forming	almost	a	regular	
20-year	sequence:
• 1861	– 1881	– 1911	– 1931	– 1951	– 1971	– 1991	– 2011
• Re-classification	work	maps	all	historical	
occupations	to	one	of	the	99	“Divisions”	in	the	
2007	Standard	Industrial	Classification
• Some	of	these	assignments	problematic,	so	web	
site	will	follow	2011	census	in	using	a	26-way	
classification	based	mainly	on	the	SIC	“Sections”
• To	present	change	over	time	today,	I	am	using	an	
even	simpler	7-way	classification
Industrial	Structure	of	New	Forest	
district	1841-2011
Industrial	Structure	of	South	
Tyneside 1841-2011
Industrial	Structure	of	Rhondda	
Cynon Taff 1841-2011
1841:	Percentage	
employed	in	
Manufacturing
• And	the	trend	over	time	for	
North	West	England
1911:	Percentage	
employed	in	Mining
• And	similarly,	the	trends	in	Wales,	
compared	to	E&W:
• Shows	why	we	focus	on	1911
1841:	Percentage	
employed	in	Agriculture
• One	key	point	to	note	is	that	even	in	
1841	no	large	area	of	the	country	
had	a	majority	of	its	workers	in	
farming
• Comparing	the	S	East	with	E&W:
1841:	Percentage	
employed	in	Finance	
and	Business	Services
• Turning	now	to	a	sector	that	has	
expanded,	London	clearly	
dominated	even	back	then	in	1841
2011:	Percentage	
employed	in	Finance	
and	Business	Services
• And	that	domination	very	much	
continues	to	today
• 46%	of	City	of	London	work	in	“Finance	
and	Insurance”	versus	3%	in	North	East
1861:	Percentage	employed	
in	Public	Services
• In	19th century,	“government”	was	
concentrated	in	the	South	East
• Much	of	this,	of	course,	was	about	
the	military
• Today	this	sector	includes	health	
and	education	and	has	a	different	
geography
• So	the	North	East	is	now	above	
average
2011:	Percentage	employed	
in	Public	Services
Beveridge’s	Five	“Great	Evils”
• Idleness
• Unemployment,	from	the	census	plus	claimant	counts
• Illness
• Infant	Mortality
• Want
• Lack	of	direct	evidence	so	data	on	social	class
• Ignorance
• Statistics	of	Education
• Squalor
• Overcrowding	measured	by	persons	per	room
• Basis	for	an	earlier	paper	with	Danny	Dorling	and	
Ian	Gregory,	but	then	we	redistricted	back	to	1898	
units
2011:	Census	
Unemployment	(%)
• Great	variation	over	time	but	
the	differentials	persist:
1931:	Census	
Unemployment	(%)	
by	Local	Government	
District
• This	map	gives	an	
example	of	the	
real	detail	in	our	
original	historical	
data
• The	census	is	just	a	snapshot,	so	we	need	other	sources:
1931:	Census	Unemployment	(%)	by	
Government	Office	Region
• Data	combine	branch-level	statistics	
from	the	two	largest	unions,	the	
Amalgamated	Engineers	and	the	
Amalgamated	Carpenters	and	Joiners
1879:	Trade	Union	Unemployment	
(%)	by	Government	Office	Region
1931:	Infant	Mortality	(deaths	per	‘000	Births)
• Note	the	rates:	even	in	the	1930s,	
infant	deaths	were	a	routine	part	of	life
• Comparative	trends	for	S	Tyneside
2008-10:	Infant	Mortality	(deaths	per	‘000	Births)
• By	now,	even	combining	three	years	rates	so	
low	that	small	numbers	confuse	patterns
• Comparative	trends	for	the	Rhondda:	
consistently	above	average	until	1960s
Want:	Distribution	of	Social	Classes	4	and	5	(%)
• Period	of	large	“social	change”	– but	little	
change	to	the	geography	of	class
1931 1971
1931:	Bad	Housing	(%	Over	1.5	persons	per	
room)
• Conditions	in	north	east	especially	bad	
(and	Scotland	worse)
• Very	substantial	change,	so	no	longer	
very	useful	criterion
2011:	Bad	Housing	(%	Over	1.5	persons	per	
room)
• Percentages	much	lower,	and	
concentrated	in	southern	cities
• Comparison	for	New	Forest:
1851:	The	first	Census	of	Education
• Mainly	concerned	with	how	education	was	funded
• Maps	shows	numbers	attending	schools	as	percent	of	all	aged	5	
to	14
Day	Schools Sunday	Schools
• First	census	since	1851	to	provide	
education	data
• People	could	have	left	school	any	
time	in	previous	50	years
• Time	trend	for	the	N	East	vs	E&W
1951:	Percentage	leaving	
education	at	ages	under	16
2011:	Two	sides	of	education
Percentage	Unqualified Percentage	with	Degrees
And	now	for	“so	what?”
• Will	begin	by	quickly	noting	just	the	
conclusions	of	a	series	of	papers	on	the	
impact	of	past	socio-economic	conditions	on	
individual	health
• All	researched	with	collaborators	who	
contributed	very	considerable	expertise	on	
statistical	methods
• But	I	want	to	include	with	a	different	kind	of	
argument,	about	understanding	who	we	are	
and	where	we	have	come	from
How	does	being	a	child	of	the	
depressed	areas	of	the	1930s	affect	
your	health	today?
• “The	analysis	shows	that	individual	characteristics	and	type	
of	area	of	residence	in	1981	were	associated	with	health	
outcomes.	In	addition,	some	variables	describing	socio-
economic	conditions	in	the	1930s	contribute	independently	
to	the	regression	models	(notably	measures	of	economic	
deprivation	and	unemployment).”
• “The	results	suggest	that	conditions	in	residential	area	in	
early	life	may	help	to	explain	relatively	poor	health	
experience	of	populations	in	some	parts	of	Britain	today.”	
• See:	Sarah	Curtis,	H.	Southall,	P.	Congdon,	B.	Dodgeon
(2004)	“Area	effects	on	health	variation	over	the	life-course:	
analysis	of	the	longitudinal	study	sample	in	England	using	
new	data	on	area	of	residence	in	childhood”,	Social	Science	
&	Medicine	58,	pp.	57–74
Does	
unemploy-
ment
increase	
suicides?
• Aims:	To	investigate	associations	between	unemployment	and	
suicide	in	15-to-44-year-old	men	and	women	over	a	period	
spanning	two	major	economic	recessions	(1921- 1995).	
• Results	There	were	significant	associations	between	
unemployment	and	suicide	in	both	males	and	females.	
• See:	GunnellD.J.,	Lopatatzidis A.,	Dorling	D.,	Wehner H.,	
Southall	H.R.	and	Frankel,	S.	(1999)	‘Suicide,	unemployment	
and	gender	— an	analysis	of	trends	in	England	and	Wales:	
1921-1995’,	British	J.	of	Psychiatry,	75,	263-70.
+25- to 34-year-old males
+35- to 44-year-old males
Year
What	effects	does	growing	up	poor	in	
the	1950s	have	on	what	your	body	
can	do	now?
• Physical	capability	in	later	life	is	influenced	by	factors	occurring	across	
the	life	course.
• Cross-classified	multilevel	models	with	individuals	nested	within	areas	
at	the	3	ages	showed	that	models	assessing	a	single	time	point	
underestimate	total	area	contributions	to	physical	capability.
• For	balance	and	chair-rise	performance,	associations	with	area	
deprivation	in	midlife	were	robust	to	adjustment	for	individual	
socioeconomic	position	and	prior	area	deprivation	
• Interventions	aimed	at	reducing	midlife	disparities	in	physical	capability	
should	target	the	socioeconomic	environment	of	individuals—for	
standing	balance,	as	early	as	childhood.
• See:	Emily	T.	Murray,	Yoav Ben-Shlomo,	Kate	Tilling,	Humphrey	
Southall,	Paula	Aucott,	Diana	Kuh,	and	Rebecca	Hardy	(2013)	“Area	
Deprivation	Across	the	Life	Course	and	Physical	Capability	in	Midlife:	
Findings	From	the	1946	British	Birth	Cohort”,	American	Journal	of	
Epidemiology
How	does	the	industrial	history	of	
your	home	area	affect	how	much	
exercise	you	take?
• Based	on	employment	change	in	industries	associated	with	heavy	
manual	work,	a	local	measurement	of	industrial	decline	was	
developed,	covering	the	period	1841-2001.	
• Results	indicate	that	the	process	of	deindustrialisationappears	to	
be	associated	with	patterns	of	physical	activity	and	that	this	is	
independent	of	household	income.
• In	particular,	residents	of	districts	characterised by	a	history	of	
manufacturing	and	mining	employment	had	increased	odds	of	
reporting	low	activity	levels.
• Post-industrial	change	may	be	a	factor	in	explaining	present-day	
variations	in	physical	activity,	emphasisingthe	plausible	impact	of	
inherited	cultures	and	regional	identities	on	health	related	
behaviours.
• See:	Esther	Rind,	Andy	Jones,	Humphrey	Southall(2014)	“How	is	
post-industrial	decline	associated	with	the	geography	of	physical	
activity?	Evidence	from	the	Health	Survey	for	England”,	Social	
Science	&	Medicine	104,	88-97.
…	and	now	we	are	working	on	
connections	between	past	air	pollution	
and	health
• Map	shows	domestic	
consumption	per	head	
of	coal	in	1952
• From	new	research	with	
David	Phillips	and	Clive	
Osmond	of	
Southampton	University
• Linking	back	to	a	
tradition	of	research	
there	into	long-run	
health	impacts	of	
childhood	conditions	
started	by	David	Barker
¯
0 40 8020 Miles
Domestic Fuel Consumption per Person 1952
Tons per year
2.8 - 3.4
2.3 - 2.7
1.8 - 2.2
1.2 - 1.7
0.9 - 1.1
0.6 - 0.8
0.3 - 0.5
(Local Fuel Overseers' Areas)
The	need	for	a	“national	audit”	(1)
• Our	work	to	assemble	long-run	statistical	perspectives	is	
part-justified	by	this	health	research,	but	I	believe	there	is	a	
broader	justification
• “The	national	curriculum	for	history	aims	to	ensure	that	all	
pupils	…	understand	historical	concepts	such	as	continuity	
and	change,	cause	and	consequence,	similarity,	difference	
and	significance,	and	use	them	to	make	connections,	draw	
contrasts,	analyse trends,	frame	historically	valid	questions	
and	create	their	own	structured	accounts,	including	written	
narratives	and	analyses.”
• See	https://www.gov.uk/government/publications/national-
curriculum-in-england-history-programmes-of-study/national-
curriculum-in-england-history-programmes-of-study
The	need	for	a	“national	
audit”	(2)
• How	are	we	to	develop	long-run	
perspectives	of	this	kind?
• Our	work	also	embraces	a	large	
collection	of	historical	travel	writing,	but	
despite	having	read	all	of	it	I	do	not	find	
there	the	kind	of	long-run	geographical	
perspective	we	can	build	up	from	the	
Census and	other	statistical	sources
• It	therefore	matters	greatly	whether	we	
continue	to	conduct	these	great	national	
stick-takings,	even	after	2021
• Which	for	those	of	you	who	do	not	work	in	
Titchfield,	is	very	much	an	open	question!”
Acknowledgments:
• For	particular	help	preparing	today’s	lecture:
• David	Gatley
• Paul	Norman
• Harold	Price
• Sinclair	Sutherland
• Greater	London	Authority
• Centre	for	Cities
• And	always	the	GB	Historical	GIS	team:
• Paula	Aucott
• Michael	Stoner

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Auditing a divided nation: A new map of Britain’s changing economy and society 1841-2021

Editor's Notes

  1. Presenting just a few sample districts, partly chosen for particular people in today’s audience. Firstly, the New Forest, with a markedly larger agricultural workforce than the national average but still essentially disappearing today Note also the rise in manufacturing between 1931 and 1951 – this has been one of the surprises for me
  2. Next, South Tyneside, including South Shields. This is one of the areas where coal mining played a very significant role historically
  3. Here we have a large part of the South Wales coalfield, and the remarkable scale of coal mining in some of our localities is very clear
  4. Now let’s look at the data a different way, considering particular sectors starting with manufacturing, and its geography in 1841
  5. Tells us something slightly surprising about the Welsh
  6. And again the persistence of the north south divide is very visible