Staffordshire Moorlands: Seat, Ward and Prediction Details

Staffordshire Moorlands: Overview

 Prediction: CON hold 

MP at 2019: Karen Bradley  (CON)
County/Area: Staffordshire (West Midlands)
Electorate: 65,485
Turnout: 66.7%
2019
Votes
2019
Share
Predicted
Votes
CON28,19264.6%63.3%
LAB11,76426.9%29.2%
LIB2,4695.7%3.2%
Green1,2312.8%3.2%
OTH00.0%1.0%
CON Majority16,42837.6%Pred Maj 34.1%
Chance of
winning
CON
98%
LAB
2%
LIB
0%
Green
0%
OTH
0%

Staffordshire Moorlands : Political and Demographic indicators

The table below shows some political and demographic numerical indicators for the Staffordshire Moorlands constituency, the 'West Midlands' area and nation.

The political measures include the three axes: Economic (Left/Right), National (Global/National) and Social (Liberal/Conservative). (what does this mean).

The demographic measures are from the 2011 Census and include categories relating to national identity, economic activity, health and education. These categories are those which have the most relevance to political attitudes.

Indicator Seat West MidlandsAll GB
Party Winner 2019CONCONCON
Party Winner 2017CONCONCON
Party Winner 2015CONCONCON
Economic Position9° Right3° Right
National Position15° Nat7° Nat
Social Position9° Con6° Con
TribeStrong Right
EU Leave %64%59%52%
British Identity25%29%29%
Good Health44%45%48%
UK Born98%89%87%
Good Education36%36%39%
Good Job48%48%51%
High SEC48%46%51%
Average Age52.148.648.3
ABC1 Class49%49%54%

Staffordshire Moorlands ranks #83 for "Leave", #192 for "Right", #48 for "National" and #46 for "Social" out of 650 seats.

Indicators: Legend and Descriptions

Indicators : Legend and Descriptions

The colour scheme used in the table above is explained in the legend table below. The eight census indicators (British Identity, Good Health, UK Born, Good Education, Good Job, High SEC, Average Age and AB1 Class) all use the same 'Census' colour scheme indicating whether the area's level is above or below the national average.

TopicCat 1Cat 2Cat 3Cat 4Cat 5
Economic PositionVery LeftLeftCentristRightVery Right
National PositionVery GlobalGlobalCentristNationalVery Nat
Social PositionVery LibLiberalModerateConservativeVery Cons
EU Leave %Very RemainRemainBalancedLeaveVery Leave
CensusVery LowLowMediumHighVery High

Indicator definitions are given in terms of political data definitions or census categories:

IndicatorCensus
Question
Definition / Included Census Categories
Party WinnerArea party winner : actual election result or projected by Electoral Calculus
Economic PositionEconomic position between 100° Left and 100° Right, estimated by Electoral Calculus from political and demographic data.
National PositionNational position between 100° Global and 100° National, estimated by Electoral Calculus from political and demographic data.
Social PositionSocial position between 100° Liberal and 100° Conservative, estimated by Electoral Calculus from political and demographic data.
TribeTribe group dominant in the area. Can be: Strong Left, Traditionalists, Progressives, Centrists, Somewheres, Kind Young Capitalists, or Strong Right. See details.
EU Leave %EU Referendum vote share for 'Leave' : actual result or estimate
British IdentityNational Identity (KS202)Those answering British, British-Other, or Scottish-British
Good HealthHealth (KS301)Those answering 'Very Good Health'
UK BornCountry of Birth (QS203)Those answering England, Northern Ireland, Scotland, Wales, GB Other, or UK Other
Good EducationHighest level of Qualification (QS501)Level 3 (A-level equivalent) or Level 4+ (degree equivalent)
Good JobOccupation (QS606)Occupation codes 1xx to 4xx (Managers, Professionals, Associates, and office workers)
High SECNS-SeC of Household Reference Person (QS609)National Statistics Socio-economic Classification from 1 to 4 (higher managers and professionals, lower managers and professionals, intermediate occupations, small employers and self-employed).
Average AgeAge (QS103)Average age of adults (18 years and above)
ABC1 ClassApproximated Social Grade (QS611)Approximated social grades A, B and C1

Staffordshire Moorlands: Map

Boundary Lines courtesy of Ordnance Survey OpenData © Crown copyright 2020, Map © OpenStreetMap contributors

Predicted ward-by-ward votes for Staffordshire Moorlands

This table shows the predicted future general election result broken down over each ward in the seat of Staffordshire Moorlands.

Staffordshire MoorlandsActualPredicted Results
DistrictWardElectorate
2019
GE19
Winner
Pred
Winner
CON
Votes
LAB
Votes
LIB
Votes
Brexit
Votes
Green
Votes
MIN
Votes
OTH
Votes
Total
Votes
Newcastle-under-LymeNewchapel and Mow Cop2,922CONCON1,181668410430161,949
Staffordshire MoorlandsAlton1,213CONCON5682031701507810
Staffordshire MoorlandsBagnall and Stanley1,447CONCON7401551904307964
Staffordshire MoorlandsBiddulph East4,732CONCON1,5461,458640630253,156
Staffordshire MoorlandsBiddulph Moor1,447CONCON7101962702409966
Staffordshire MoorlandsBiddulph North4,729CONCON2,0977847601690273,153
Staffordshire MoorlandsBiddulph South1,470CONCON61226068022018980
Staffordshire MoorlandsBiddulph West4,300CONCON1,865849650630242,866
Staffordshire MoorlandsBrown Edge and Endon4,153CONCON1,83457018201350482,769
Staffordshire MoorlandsCaverswall1,506CONCON76919118017081,003
Staffordshire MoorlandsCellarhead2,732CONCON1,358330370830141,822
Staffordshire MoorlandsCheddleton4,589CONCON1,9029261240700373,059
Staffordshire MoorlandsChurnet2,763CONCON1,376371400400151,842
Staffordshire MoorlandsDane1,386CONCON6931611804607925
Staffordshire MoorlandsHamps Valley1,559CONCON80818420019081,039
Staffordshire MoorlandsHorton1,647CONCON799234270280101,098
Staffordshire MoorlandsIpstones1,582CONCON77022624025091,054
Staffordshire MoorlandsLeek East4,146CONCON1,5569651340710382,764
Staffordshire MoorlandsLeek North4,354CONCON1,4201,337670560252,905
Staffordshire MoorlandsLeek South4,676CONCON1,5111,28713401440403,116
Staffordshire MoorlandsLeek West3,808CONCON1,41785011401240332,538
Staffordshire MoorlandsManifold1,581CONCON735212620280171,054
Staffordshire MoorlandsWerrington2,742CONCON1,368328350830141,828
 Total65,484CONCON27,63512,7451,41301,411045643,660

Please note that general election results and electorates are not officially made available ward-by-ward. The numbers shown are our best estimates for these figures, but are not official. The wards used are those of 2020.


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