Socio-economic statistics for Rough Hay, Staffordshire

Socio-economic statistics for Rough Hay, Staffordshire

Is Rough Hay in East Staffordshire a nice place to live or is it a bit rough? We have collated a series of socio-economic statistics and demographics from UK government sources such as the 2021 Census and the Index of Multiple Deprivation. They should give you a broad snapshot of the area and the surrounding locations. Are the residents of Rough Hay older than the national average or younger? What is the population of Rough Hay and East Staffordshire? What is the claimant count in Rough Hay and how many residents are unemployed? This page should provide you with the answers.

Rough Hay & East Staffordshire Immigration Statistics

We have analysed the Census 2021 raw data on country of birth and compiled immigration statistics as percentages of the population. All percentages have been rounded to two decimal places. Below are the figures for Rough Hay in the East Staffordshire local area district.

Rough Hay has a lower rate of immigrants than East Staffordshire, the West Midlands region and England as a whole.
AreaBorn in UKBorn outside UK
Needwood96.2%3.8%
East Staffordshire86.08%13.92%
West Midlands84.84%15.17%
England82.65%17.35%

Rough Hay compared to other wards in East Staffordshire

#WardBorn in UKBorn outside UK
1Anglesey56.85%43.15%
2Shobnall66.02%33.98%
3Burton68.06%31.94%
4Eton Park71.75%28.25%
5Horninglow82.91%17.09%
6Stapenhill86.82%13.18%
7Branston88.72%11.28%
8Winshill88.87%11.14%
9Crown94.2%5.8%
10Town94.22%5.78%
11Brizlincote94.32%5.68%
12Tutbury and Outwoods94.39%5.61%
13Stretton95%5%
14Churnet95.66%4.34%
15Heath96.05%3.95%
16Needwood96.2%3.8%
17Yoxall96.26%3.74%
18Rolleston on Dove96.52%3.48%
19Weaver97.23%2.78%
20Bagots97.62%2.38%
21Abbey97.96%2.04%
';Rough Hay is ranked 16 out of 21 wards in East Staffordshire for the number of residents born outside of the UK.

Rough Hay Age Distribution Statistics

We have taken the raw data from the 2021 Census and the calculated the proportion of age groups in Needwood.
Age BandProportion
4 & under
5 - 9 years
10 - 15 years
16 - 19 years
20 - 24 years
25 - 34 years
35 - 49 years
50 - 64 years
65 - 74 years
75 - 84 years
85 years & over

Rough Hay Unemployment Statistics

Since the introduction of Universal Credit, The Department for Work & Pensions have not issued any statistics (in our view) that can be used to ascertain the levels of unemployment or under employment in the UK, just meaningless geographic counts. However, the Office of National Statistics does publish claimant counts of people receiving out of work benefits, be that legacy Jobseeker’s Allowance or Universal Credit as a proportion of people over 16. These figures are usually updated once a month and are for Local Authority Districts and Unitary Authority Districts. So below are the figures of East Staffordshire.
AreaUnemployedYearly Change
East Staffordshire3.2%0.1%
West Midlands5%-0.3%
England3.8%-0.3%
UK3.7%-0.3%
Source: Office for National Statistics (ONS), Last Retrieved: March 2023
The 2021 census had data on people who were economically active (seeking work) yet unemployed on Census day (Sunday March 21st 2021). These statitics do cover Rough Hay on a ward level. However, it has to be noted that the Census day was during the height of the Covid19 pandemic and therefore are not reflective of normal levels of unemployment. For example, between March 2020 and June 2020 people claiming Universal Credit doubled in most areas of the United Kingdom and then steadily declined up to the day of the Census and beyond. This data also contains the proportion of people in part-time work (working between 1-35 hours per week), which maybe an indicator of under employment in Rough Hay.
Economic StatusProportion
In Employment56.41%
In Part-Time Work27.55%
Unemployed2.88%
72.45% of the people in work, are in full-time employment in Rough Hay

Rough Hay Education Statistics

We have taken the raw data from the 2021 census to found of the level of education Rough Hay residents have in terms of formal qualifications as a percentage. The UK government breaks qualifications down into 7 levels. A detailed explanation of these levels can be found here. However, the Census groups these into just 4 \'levels\'. Here are some examples of the qualifications each census level represents when not stated;

  • Level 1 - GCSE grades D, E, F, or G & below
  • Level 2 - GCSE A*, A, B, C or O Level grades A, B or C
  • Level 3 - A or AS qualification at any grade
  • Level 4 - HNC, Bachelors Degree, Masters Degree or Phd

In this first table we have compared Rough Hay to the national average for England.
LevelNeedwoodEngland
No Qualifications13.35%18.08%
Level 18.06%9.69%
Level 213.9%13.32%
Apprenticeship5.51%5.32%
Level 316.68%16.92%
Level 440.47%33.92%

Rough Hay Health Statistics

Needwood has more residents (very_good_pc-$country_health->very_good_pc, 2)%) describing their health as very good than the national average for England.
AreaVGGFBVB
Needwood48.68%35.76%11.4%3.3%0.86%
East Staffordshire46.54%35.47%13.16%3.74%1.09%
West Midlands46.4%34.38%13.54%4.37%1.31%
England48.49%33.71%12.65%3.98%1.17%
VG = Very Good, G = Good, F = Fair, B = Bad & VB = Very Bad

How has the health of residents in East Staffordshire changed since 2011?

East Staffordshire residents who describe their health as either good or very good has increased by 0.43% between the 2011 and 2021 census.
YearVGGFBVB
201145.86%35.72%13.47%3.85%1.09%
202146.54%35.47%13.16%3.74%1.09%
VG = Very Good, G = Good, F = Fair, B = Bad & VB = Very Bad

What are the occupations of the residents of Rough Hay?

The largest employment sector in Rough Hay is Professional Occupations. The smallest employment sector is Process Plant & Machine Operatives.
SectorProportion
Professional Occupations22.35%
Managers, Directors & Senior Officials21.6%
Associate Professional & Technical13.69%
Skilled Trades9.68%
Administrative & Secretarial9.19%
Elementary Occupations7.95%
Caring, leisure & Other Services5.07%
Process Plant & Machine Operatives4.86%

How many residents own or rent their home in Rough Hay and East Staffordshire

We have taken the raw data from the 2021 census and calculated what proportion of people in Rough Hay either own or rent their home. All percentages have been rounded to two decimal places. 82.32 of residents own their home either outright or mortgaged. 17.68 of Rough Hay residents rent their home either privately or through a social landlord.
AreaOwnedRented
Needwood82.32%17.68%
East Staffordshire66.83%33.17%
West Midlands62.8%37.2%
England61.31%38.69%

Rough Hay has a significantly higher level of home ownership than the national average. This is indicative or an economically wealthy area.

Rough Hay compared to other wards in East Staffordshire

#WardOwnedRented
1Brizlincote87.57%12.43%
2Abbey (East Staffordshire)86.66%13.34%
3Rolleston on Dove84.96%15.04%
4Yoxall84.75%15.25%
5Stretton83.89%16.11%
6Needwood82.32%17.68%
7Crown81.4%18.6%
8Bagots80.24%19.76%
9Branston (East Staffordshire)77.81%22.19%
10Weaver77.74%22.26%
11Tutbury and Outwoods77.18%22.82%
12Heath (East Staffordshire)72.01%27.99%
13Town (East Staffordshire)69.02%30.98%
14Churnet (East Staffordshire)68.55%31.45%
15Winshill62.65%37.35%
16Horninglow56.97%43.03%
17Eton Park52.13%47.87%
18Stapenhill51.61%48.39%
19Shobnall45.02%54.98%
20Anglesey (East Staffordshire)43.17%56.83%
21Burton (East Staffordshire)37.69%62.31%
Rough Hay is ranked 6 out of 21 wards in East Staffordshire for the percentage of home owners.

What is the population of Rough Hay and East Staffordshire?

The table below contains the populations figures for each ward in East Staffordshire including Rough Hay. These population ONS figures are estimated are dated Mid 2020.

WardPopulation
Abbey2888
Anglesey8163
Bagots2704
Branston8166
Brizlincote5139
Burton4231
Churnet2809
Crown3466
Eton Park7697
Heath6687
Horninglow9177
Needwood5956
Rolleston on Dove3208
Shobnall8511
Stapenhill7938
Stretton7550
Town6981
Tutbury and Outwoods6590
Weaver1998
Winshill8584
Yoxall2480
East Staffordshire Total120923



Last updated: 20/02/2024, Additional Sources: Office for National Statistics & Department for Work & Pensions.