Is Great Moor in South 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 Great Moor older than the national average or younger? What is the population of Great Moor and South Staffordshire? What is the claimant count in Great Moor and how many residents are unemployed? This page should provide you with the answers.What are the occupations of the residents of Great Moor?
The largest employment sector in Great Moor is Professional Occupations. The smallest employment sector is Process Plant & Machine Operatives.Sector | Proportion |
---|
Professional Occupations | 25.4% |
Managers, Directors & Senior Officials | 21.49% |
Associate Professional & Technical | 12.15% |
Skilled Trades | 10.34% |
Administrative & Secretarial | 9.24% |
Caring, leisure & Other Services | 6.33% |
Elementary Occupations | 5.82% |
Process Plant & Machine Operatives | 3.21% |
Great Moor Education Statistics
We have taken the raw data from the 2021 census to found of the level of education Great Moor 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 Great Moor to the national average for England.
Level | Pattingham and Patshull | England |
---|
No Qualifications | 15.54% | 18.08% |
Level 1 | 9.03% | 9.69% |
Level 2 | 13.12% | 13.32% |
Apprenticeship | 5.16% | 5.32% |
Level 3 | 16.02% | 16.92% |
Level 4 | 38.33% | 33.92% |
Great Moor Health Statistics
Pattingham and Patshull has more residents (=round( $ward_health->very_good_pc-$country_health->very_good_pc, 2)%) describing their health as very good than the national average for England.Area | VG | G | F | B | VB |
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Pattingham and Patshull | 49.47% | 36.15% | 10.58% | 3.32% | 0.49% |
South Staffordshire | 45.01% | 35.73% | 13.96% | 4.11% | 1.2% |
West Midlands | 46.4% | 34.38% | 13.54% | 4.37% | 1.31% |
England | 48.49% | 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 South Staffordshire changed since 2011?
South Staffordshire residents who describe their health as either good or very good has decreased by 0.11% between the 2011 and 2021 census.Year | VG | G | F | B | VB |
---|
2011 | 45.35% | 35.5% | 13.78% | 4.1% | 1.27% |
2021 | 45.01% | 35.73% | 13.96% | 4.11% | 1.2% |
VG = Very Good, G = Good, F = Fair, B = Bad & VB = Very Bad
Great Moor 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 South Staffordshire.Area | Unemployed | Yearly Change |
---|
South Staffordshire | 2.8% | -0.2% |
West Midlands | 5% | -0.3% |
England | 3.8% | -0.3% |
UK | 3.7% | -0.3% |
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 Great Moor 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 Great Moor.Economic Status | Proportion |
---|
In Employment | 53.04% |
In Part-Time Work | 30.72% |
Unemployed | 4.64% |
69.28% of the people in work, are in full-time employment in Great MoorGreat Moor Age Distribution Statistics
We have taken the raw data from the 2021 Census and the calculated the proportion of age groups in Pattingham and Patshull.Age Band | Proportion |
---|
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 | |
How many residents own or rent their home in Great Moor and South Staffordshire
We have taken the raw data from the 2021 census and calculated what proportion of people in Great Moor either own or rent their home. All percentages have been rounded to two decimal places. 77.31 of residents own their home either outright or mortgaged. 22.69 of Great Moor residents rent their home either privately or through a social landlord. Area | Owned | Rented |
---|
Pattingham and Patshull | 77.31% | 22.69% |
South Staffordshire | 74.5% | 25.5% |
West Midlands | 62.8% | 37.2% |
England | 61.31% | 38.69% |
Great Moor has a significantly higher level of home ownership than the national average. This is indicative or an economically wealthy area.
Great Moor compared to other wards in South Staffordshire
# | Ward | Owned | Rented |
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1 | Perton East | 90.18% | 9.82% |
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2 | Codsall South | 86.94% | 13.06% |
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3 | Perton Dippons | 86.24% | 13.76% |
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4 | Kinver | 80.89% | 19.11% |
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5 | Cheslyn Hay North and Saredon | 78.65% | 21.35% |
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6 | Cheslyn Hay South | 78.31% | 21.69% |
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7 | Brewood and Coven | 77.94% | 22.06% |
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8 | Wombourne South East | 77.89% | 22.11% |
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9 | Pattingham and Patshull | 77.31% | 22.69% |
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10 | Himley and Swindon | 76.94% | 23.06% |
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11 | Wombourne North and Lower Penn | 76.49% | 23.51% |
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12 | Penkridge South East | 76.26% | 23.74% |
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13 | Great Wyrley Town | 75.87% | 24.13% |
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14 | Penkridge North East and Acton Trussell | 75.15% | 24.85% |
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15 | Wheaton Aston, Bishopswood and Lapley | 73.95% | 26.05% |
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16 | Great Wyrley Landywood | 72.9% | 27.1% |
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17 | Codsall North | 72.84% | 27.16% |
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18 | Essington | 72.5% | 27.5% |
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19 | Featherstone and Shareshill | 71.18% | 28.82% |
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20 | Trysull and Seisdon | 68.74% | 31.26% |
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21 | Wombourne South West | 68.2% | 31.8% |
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22 | Penkridge West | 67.86% | 32.14% |
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23 | Bilbrook | 64.81% | 35.19% |
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24 | Perton Lakeside | 64.62% | 35.38% |
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25 | Huntington and Hatherton | 63.69% | 36.31% |
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Great Moor is ranked 9 out of 25 wards in South Staffordshire for the percentage of home owners.Great Moor & South 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 Great Moor in the South Staffordshire local area district.
Great Moor has a lower rate of immigrants than South Staffordshire, the West Midlands region and England as a whole. Area | Born in UK | Born outside UK |
---|
Pattingham and Patshull | 97.48% | 2.52% |
---|
South Staffordshire | 96.71% | 3.29% |
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West Midlands | 84.84% | 15.17% |
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England | 82.65% | 17.35% |
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Great Moor compared to other wards in South Staffordshire
# | Ward | Born in UK | Born outside UK |
---|
1 | Featherstone and Shareshill | 93.9% | 6.1% |
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2 | Bilbrook | 95.01% | 4.99% |
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3 | Perton Lakeside | 95.09% | 4.91% |
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4 | Wombourne North and Lower Penn | 95.48% | 4.52% |
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5 | Codsall South | 95.7% | 4.3% |
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6 | Perton East | 95.72% | 4.28% |
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7 | Perton Dippons | 96.24% | 3.76% |
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8 | Codsall North | 96.36% | 3.64% |
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9 | Trysull and Seisdon | 96.56% | 3.44% |
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10 | Huntington and Hatherton | 96.77% | 3.23% |
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11 | Brewood and Coven | 96.97% | 3.03% |
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12 | Kinver | 97.23% | 2.77% |
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13 | Penkridge North East and Acton Trussell | 97.25% | 2.75% |
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14 | Penkridge West | 97.27% | 2.73% |
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15 | Himley and Swindon | 97.3% | 2.7% |
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16 | Great Wyrley Landywood | 97.32% | 2.68% |
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17 | Essington | 97.34% | 2.66% |
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18 | Wombourne South East | 97.45% | 2.55% |
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19 | Pattingham and Patshull | 97.48% | 2.52% |
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20 | Cheslyn Hay North and Saredon | 97.74% | 2.26% |
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21 | Cheslyn Hay South | 97.76% | 2.24% |
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22 | Wheaton Aston, Bishopswood and Lapley | 97.84% | 2.16% |
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23 | Great Wyrley Town | 97.97% | 2.03% |
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24 | Wombourne South West | 98.12% | 1.88% |
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25 | Penkridge South East | 98.32% | 1.68% |
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';Great Moor is ranked 19 out of 25 wards in South Staffordshire for the number of residents born outside of the UK.What is the population of Great Moor and South Staffordshire?
The table below contains the populations figures for each ward in South Staffordshire including Great Moor. These population ONS figures are estimated are dated Mid 2020.
Ward | Population |
---|
Bilbrook | 4237 |
Brewood and Coven | 6716 |
Cheslyn Hay North and Saredon | 4536 |
Cheslyn Hay South | 3494 |
Codsall North | 4604 |
Codsall South | 4127 |
Essington | 5226 |
Featherstone and Shareshill | 7533 |
Great Wyrley Landywood | 4837 |
Great Wyrley Town | 6429 |
Himley and Swindon | 2415 |
Huntington and Hatherton | 5681 |
Kinver | 7166 |
Pattingham and Patshull | 2255 |
Penkridge North East and Acton Trussell | 3838 |
Penkridge South East | 4705 |
Penkridge West | 2060 |
Perton Dippons | 1976 |
Perton East | 2127 |
Perton Lakeside | 6374 |
Trysull and Seisdon | 2256 |
Wheaton Aston, Bishopswood and Lapley | 4294 |
Wombourne North and Lower Penn | 6696 |
Wombourne South East | 3909 |
Wombourne South West | 4878 |
South Staffordshire Total | 112369 |
Last updated: 20/02/2024, Additional Sources: Office for National Statistics & Department for Work & Pensions.