TD

28.7%

Highest — Carlisle 001D

75.1%

Median

28.7%

Lowest — Northumberland 001C

1.8%

Source period

Census 2021

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Use England/Wales Census 2021, Scotland Census 2022 or NISRA Census 2021 according to country; these are area characteristics, not attributes of an individual postcode household.

3.0%

Highest — Northumberland 001D

42.7%

Median

3.0%

Lowest — Northumberland 002B

0.1%

Source period

Census 2021

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Use England/Wales Census 2021, Scotland Census 2022 or NISRA Census 2021 according to country; these are area characteristics, not attributes of an individual postcode household.

33.2%

Highest — Northumberland 001C

93.5%

Median

33.2%

Lowest — Northumberland 001B

11.3%

Source period

Census 2021

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Use England/Wales Census 2021, Scotland Census 2022 or NISRA Census 2021 according to country; these are area characteristics, not attributes of an individual postcode household.

21.5%

Highest — Northumberland 001F

57.0%

Median

21.5%

Lowest — Northumberland 001C

2.2%

Source period

Census 2021

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Use England/Wales Census 2021, Scotland Census 2022 or NISRA Census 2021 according to country; these are area characteristics, not attributes of an individual postcode household.

26.5%

Highest — Northumberland 001C

53.2%

Median

26.5%

Lowest — Northumberland 002D

20.9%

Source period

Census 2021

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Use England/Wales Census 2021, Scotland Census 2022 or NISRA Census 2021 according to country; these are area characteristics, not attributes of an individual postcode household.

51.3%

Highest — Northumberland 001C

54.5%

Median

51.3%

Lowest — Carlisle 001D

48.3%

Source period

Census 2021

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Use England/Wales Census 2021, Scotland Census 2022 or NISRA Census 2021 according to country; these are area characteristics, not attributes of an individual postcode household.

48.7%

Highest — Carlisle 001D

51.7%

Median

48.7%

Lowest — Northumberland 001C

45.5%

Source period

Census 2021

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Use England/Wales Census 2021, Scotland Census 2022 or NISRA Census 2021 according to country; these are area characteristics, not attributes of an individual postcode household.

3.6%

Highest — Northumberland 001E

5.0%

Median

3.6%

Lowest — Northumberland 003B

2.2%

Source period

Census 2021

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Use England/Wales Census 2021, Scotland Census 2022 or NISRA Census 2021 according to country; these are area characteristics, not attributes of an individual postcode household.

1,651

Latest annual mid-year population estimate

Highest — Northumberland 003C

1,938

Median

1,651

Lowest — Northumberland 002A

1,135

Source period

mid-2024

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Unrounded estimates are published to support aggregation; that does not make them exact observations. This is an ONS mid-year estimate for the surrounding LSOA, not a count at this postcode and not a Census-day observation. Students are estimated at their term-time address. England and Wales only.

1,584

People counted in this neighbourhood on census day

Highest — Northumberland 003C

1,888

Median

1,584

Lowest — Northumberland 002A

1,117

Source period

Census 2021

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

The number of people usually resident in this neighbourhood. Census day was 21 March 2021, during coronavirus restrictions: students were largely counted at a parental address rather than a term-time one, and workplace populations were displaced. The census is taken once a decade, so this is now several years old. It describes the LSOA around this postcode — a neighbourhood of roughly 1,500 people — and not this address. Small counts are deliberately adjusted to protect confidentiality, so categories need not sum exactly to their totals and a difference of a person or two is noise. England and Wales only: Scotland ran its own census in 2022, published separately by National Records of Scotland.

444.4 per km²

Residents per square kilometre

Highest — Northumberland 001C

4,506.2 per km²

Median

444.4 per km²

Lowest — Northumberland 003B

4.4 per km²

Source period

Census 2021

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Residents per square kilometre across the whole neighbourhood, including any parks, water or farmland inside it, so it is not the density of the built-up part. Census day was 21 March 2021, during coronavirus restrictions: students were largely counted at a parental address rather than a term-time one, and workplace populations were displaced. The census is taken once a decade, so this is now several years old. It describes the LSOA around this postcode — a neighbourhood of roughly 1,500 people — and not this address. Small counts are deliberately adjusted to protect confidentiality, so categories need not sum exactly to their totals and a difference of a person or two is noise. England and Wales only: Scotland ran its own census in 2022, published separately by National Records of Scotland.

6.5

Live births registered for the surrounding LSOA in the latest calendar year

Highest — Carlisle 001D

13

Median

6.5

Lowest — Northumberland 002D

1

Source period

2025

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

This is an annual count for the whole LSOA, not births at this postcode. It includes a very small number of late registrations from the previous year and is not a fertility rate.

19

Deaths registered for residents of the surrounding LSOA in the latest calendar year

Highest — Northumberland 001D

42

Median

19

Lowest — Northumberland 001E

8

Source period

2024

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

This is an annual count for the whole LSOA, not deaths at this postcode. ONS rounds small sub-regional counts for disclosure control, so it must not be treated as an exact event count or summed to reproduce a national total.

731.5

Households counted in the surrounding LSOA

Highest — Northumberland 001B

934

Median

731.5

Lowest — Northumberland 001C

492

Source period

Census 2021

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

A household is one person living alone or a group sharing accommodation and facilities. It is not the number of dwellings. Census day was 21 March 2021, during coronavirus restrictions. This describes the LSOA around the postcode, not a household or address. ONS applies statistical disclosure control, so small category counts are perturbed and components may differ slightly from the published total. England and Wales only; Scotland's Census was held separately in 2022.

13.4%

Share of residents aged 5 and over who are schoolchildren or full-time students

Highest — Northumberland 001C

23.6%

Median

13.4%

Lowest — Northumberland 001B

7.9%

Source period

Census 2021

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

The denominator is all usual residents aged 5 and over. It is not the same definition as economic-activity student status. Census day was 21 March 2021, during coronavirus restrictions. This describes the LSOA around the postcode, not a household or address. ONS applies statistical disclosure control, so small category counts are perturbed and components may differ slightly from the published total. England and Wales only; Scotland's Census was held separately in 2022.

£31,749

Mean disposable income, adjusted for household size

Highest — Northumberland 002

£33,507

Median

£31,749

Lowest — Carlisle 001

£29,524

Source period

FYE 2023

How calculated

Range across complete intersecting source areas

Source areas

4 / 4

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Equivalised means adjusted for household size and composition on the modified-OECD scale, so a couple and a family of five can be compared. Do not read it as the cash a household receives. A modelled estimate for the financial year ending March 2023, not a measurement: ONS combine the Family Resources Survey with census and administrative data, and the method tends to pull estimates towards the average. Every figure carries a wide confidence interval — the true value could plausibly sit anywhere in it, so a difference between neighbouring areas may not be real. It is a mean, and income is skewed, so it sits above the typical household. The area is an MSOA of 2,000 to 6,000 households, several neighbourhoods rather than one street. England and Wales only: ONS publish no Scottish equivalent.

£38,448

Mean total annual income before tax

Highest — Northumberland 002

£43,982

Median

£38,448

Lowest — Carlisle 001

£37,048

Source period

FYE 2023

How calculated

Range across complete intersecting source areas

Source areas

4 / 4

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Total income of every household member before tax, including benefits and tax credits, and not adjusted for household size. A modelled estimate for the financial year ending March 2023, not a measurement: ONS combine the Family Resources Survey with census and administrative data, and the method tends to pull estimates towards the average. Every figure carries a wide confidence interval — the true value could plausibly sit anywhere in it, so a difference between neighbouring areas may not be real. It is a mean, and income is skewed, so it sits above the typical household. The area is an MSOA of 2,000 to 6,000 households, several neighbourhoods rather than one street. England and Wales only: ONS publish no Scottish equivalent.

£30,855

Mean disposable annual income after tax

Highest — Northumberland 002

£34,874

Median

£30,855

Lowest — Northumberland 001

£30,679

Source period

FYE 2023

How calculated

Range across complete intersecting source areas

Source areas

4 / 4

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

After income tax, national insurance, council tax and pension contributions, and not adjusted for household size. A modelled estimate for the financial year ending March 2023, not a measurement: ONS combine the Family Resources Survey with census and administrative data, and the method tends to pull estimates towards the average. Every figure carries a wide confidence interval — the true value could plausibly sit anywhere in it, so a difference between neighbouring areas may not be real. It is a mean, and income is skewed, so it sits above the typical household. The area is an MSOA of 2,000 to 6,000 households, several neighbourhoods rather than one street. England and Wales only: ONS publish no Scottish equivalent.

£31,170

Mean disposable income after rent or mortgage, adjusted for household size

Highest — Northumberland 002

£37,128

Median

£31,170

Lowest — Northumberland 001

£27,980

Source period

FYE 2023

How calculated

Range across complete intersecting source areas

Source areas

4 / 4

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

What is left after housing costs, adjusted for household size. In expensive areas this can be far below the before-housing-costs figure, which is the point of showing both. A modelled estimate for the financial year ending March 2023, not a measurement: ONS combine the Family Resources Survey with census and administrative data, and the method tends to pull estimates towards the average. Every figure carries a wide confidence interval — the true value could plausibly sit anywhere in it, so a difference between neighbouring areas may not be real. It is a mean, and income is skewed, so it sits above the typical household. The area is an MSOA of 2,000 to 6,000 households, several neighbourhoods rather than one street. England and Wales only: ONS publish no Scottish equivalent.

1,066

Active companies whose registered office is this postcode

Source period

2026-10

How calculated

Sum of complete unique source areas

Source areas

634 / 634

Counts companies whose REGISTERED OFFICE is this postcode. A registered office is not a place of business: accountants and company-formation agents register thousands of companies at a single address, so a large number here usually means one agent rather than a business district. Sole traders and ordinary partnerships are not on the register at all, so this undercounts businesses as most people use the word. Only companies with an active status on the monthly snapshot are counted; dissolved and liquidating companies are excluded. No address, company name or officer detail is stored or shown.

86

Registered at this postcode and incorporated within the year

Source period

2026-10

How calculated

Sum of complete unique source areas

Source areas

634 / 634

Of the active companies registered at this postcode, how many were incorporated in the twelve months before the snapshot. Company formation is cheap and common, and a new company is not a new business or a new job -- many never trade. Where a formation agent uses this postcode, this number counts the agent's throughput rather than local activity. No company or address detail is stored or shown.

54.5%

Highest — Northumberland 001E

64.0%

Median

54.5%

Lowest — Northumberland 002D

48.5%

Source period

Census 2021

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Use England/Wales Census 2021, Scotland Census 2022 or NISRA Census 2021 according to country; these are area characteristics, not attributes of an individual postcode household.

52.1%

Highest — Carlisle 001D

61.3%

Median

52.1%

Lowest — Northumberland 001B

44.9%

Source period

Census 2021

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Use England/Wales Census 2021, Scotland Census 2022 or NISRA Census 2021 according to country; these are area characteristics, not attributes of an individual postcode household.

32.4%

Highest — Northumberland 002A

41.5%

Median

32.4%

Lowest — Northumberland 001C

19.1%

Source period

Census 2021

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Use England/Wales Census 2021, Scotland Census 2022 or NISRA Census 2021 according to country; these are area characteristics, not attributes of an individual postcode household.

9.2%

Highest — Carlisle 001D

24.2%

Median

9.2%

Lowest — Northumberland 001E

5.9%

Source period

Census 2021

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Use England/Wales Census 2021, Scotland Census 2022 or NISRA Census 2021 according to country; these are area characteristics, not attributes of an individual postcode household.

2.7%

Highest — Northumberland 001E

4.8%

Median

2.7%

Lowest — Northumberland 002A

1.0%

Source period

Census 2021

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Use England/Wales Census 2021, Scotland Census 2022 or NISRA Census 2021 according to country; these are area characteristics, not attributes of an individual postcode household.

23.6%

Highest — Carlisle 001D

38.0%

Median

23.6%

Lowest — Northumberland 001E

8.6%

Source period

Census 2021

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Use England/Wales Census 2021, Scotland Census 2022 or NISRA Census 2021 according to country; these are area characteristics, not attributes of an individual postcode household.

81.5

Modelled number of fuel-poor households in this neighbourhood, 2024

Highest — Northumberland 003B

171

Median

81.5

Lowest — Northumberland 002A

43

Source period

2024

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

A modelled count, not a list of households. A neighbourhood with more homes will show a bigger number without being worse off, which is why the proportion beside it is the figure to read. A MODELLED estimate for the neighbourhood (LSOA) around this postcode for 2024, not a measurement and not a statement about any household here. England measures fuel poverty with the Low Income Low Energy Efficiency (LILEE) definition: a home rated D or worse for energy efficiency whose residual income after modelled energy costs falls below the poverty line. It is not a count of households unable to afford heating, and it is not a bill. The publisher states that small-area estimates "should only be used to look at general trends and identify areas of particularly high or low fuel poverty. They should not be used to identify trends over time within an LSOA, or to compare LSOAs with similar fuel poverty levels due to very small sample sizes and consequent instability". Scotland and Wales define fuel poverty differently and their figures are not on this scale.

10.0%

Modelled share of homes in this neighbourhood that are fuel poor, 2024

Highest — Northumberland 003B

18.5%

Median

10.0%

Lowest — Northumberland 002B

5.9%

Source period

2024

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

The headline figure, and the one the publisher intends to be read. A MODELLED estimate for the neighbourhood (LSOA) around this postcode for 2024, not a measurement and not a statement about any household here. England measures fuel poverty with the Low Income Low Energy Efficiency (LILEE) definition: a home rated D or worse for energy efficiency whose residual income after modelled energy costs falls below the poverty line. It is not a count of households unable to afford heating, and it is not a bill. The publisher states that small-area estimates "should only be used to look at general trends and identify areas of particularly high or low fuel poverty. They should not be used to identify trends over time within an LSOA, or to compare LSOAs with similar fuel poverty levels due to very small sample sizes and consequent instability". Scotland and Wales define fuel poverty differently and their figures are not on this scale.

771

Modelled number of homes in the LSOA, 2024

Highest — Northumberland 001B

981

Median

771

Lowest — Northumberland 001C

521

Source period

2024

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

The denominator the proportion is worked out from, published as modelled rather than counted. It is close to but not the same as a census household count. A MODELLED estimate for the neighbourhood (LSOA) around this postcode for 2024, not a measurement and not a statement about any household here. England measures fuel poverty with the Low Income Low Energy Efficiency (LILEE) definition: a home rated D or worse for energy efficiency whose residual income after modelled energy costs falls below the poverty line. It is not a count of households unable to afford heating, and it is not a bill. The publisher states that small-area estimates "should only be used to look at general trends and identify areas of particularly high or low fuel poverty. They should not be used to identify trends over time within an LSOA, or to compare LSOAs with similar fuel poverty levels due to very small sample sizes and consequent instability". Scotland and Wales define fuel poverty differently and their figures are not on this scale.

1,137.5 kWh/m²

Energy falling on a square metre of optimally angled panel

Highest — TD15 2

1,170 kWh/m²

Median

1,137.5 kWh/m²

Lowest — TD9 0

1,003 kWh/m²

Source period

2005-2023

How calculated

Range across complete intersecting source areas

Source areas

6 / 6

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled from satellite observations averaged over 2005-2023 for an unshaded surface at the best angle, at a point in this postcode sector. It is a property of the location and the weather, not of any building: roof pitch, direction, and shading from trees and neighbouring buildings all change what reaches an actual panel, and none of them is known here. Source: PVGIS © European Communities, 2001-2026.

3,632 kWh

A standard domestic array at the best angle, over a year

Highest — TD15 2

3,741 kWh

Median

3,632 kWh

Lowest — TD9 0

3,178 kWh

Source period

2005-2023

How calculated

Range across complete intersecting source areas

Source areas

6 / 6

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

A modelled figure for a 4 kWp roof-mounted array facing the best direction at the best angle with nothing shading it, assuming 14% system losses. It is what this LOCATION could support, not a prediction for any particular house. A north-facing roof yields around 40% of a south-facing one at the same address, and shading from a single tree can cost more than moving hundreds of miles north. Source: PVGIS © European Communities, 2001-2026.

42°

The slope that captures most energy over a year here

Highest — TD15 9

43°

Median

42°

Lowest — TD9 0

37°

Source period

2005-2023

How calculated

Range across complete intersecting source areas

Source areas

6 / 6

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

The tilt that would collect the most energy over a year at this latitude. A real installation follows the roof it is fixed to, and a fixed angle a few degrees away from optimum costs very little. Source: PVGIS © European Communities, 2001-2026.

4.14 µg/m³

Annual average fine particulate matter

Highest — NT9953

4.45 µg/m³

Median

4.14 µg/m³

Lowest — NU1043

3.81 µg/m³

Source period

2024

How calculated

Range across complete intersecting source areas

Source areas

152 / 152

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled annual average for the 1 km grid square containing this postcode — an estimate from Defra's national air-quality model, not a measurement taken here. It is a BACKGROUND concentration: the roadside increment is deliberately excluded, so streets beside busy roads inside this square are worse than this figure. Model methodology changes between years, so year-on-year comparisons are indicative.

8.07 µg/m³

Annual average coarse particulate matter

Highest — NT9854

8.6 µg/m³

Median

8.07 µg/m³

Lowest — NU1342

6.02 µg/m³

Source period

2024

How calculated

Range across complete intersecting source areas

Source areas

152 / 152

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled annual average for the 1 km grid square containing this postcode — an estimate from Defra's national air-quality model, not a measurement taken here. It is a BACKGROUND concentration: the roadside increment is deliberately excluded, so streets beside busy roads inside this square are worse than this figure. Model methodology changes between years, so year-on-year comparisons are indicative.

1.53 µg/m³

Annual average NO₂

Highest — NT9852

5.81 µg/m³

Median

1.53 µg/m³

Lowest — NT8630

1.32 µg/m³

Source period

2024

How calculated

Range across complete intersecting source areas

Source areas

152 / 152

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled annual average for the 1 km grid square containing this postcode — an estimate from Defra's national air-quality model, not a measurement taken here. It is a BACKGROUND concentration: the roadside increment is deliberately excluded, so streets beside busy roads inside this square are worse than this figure. Model methodology changes between years, so year-on-year comparisons are indicative.

1.86 µg/m³ as NO₂

Annual average NOx, expressed as NO₂

Highest — NT9852

7.31 µg/m³ as NO₂

Median

1.86 µg/m³ as NO₂

Lowest — NT8630

1.6 µg/m³ as NO₂

Source period

2024

How calculated

Range across complete intersecting source areas

Source areas

152 / 152

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled annual average for the 1 km grid square containing this postcode — an estimate from Defra's national air-quality model, not a measurement taken here. It is a BACKGROUND concentration: the roadside increment is deliberately excluded, so streets beside busy roads inside this square are worse than this figure. Model methodology changes between years, so year-on-year comparisons are indicative.

0.34 µg/m³

Annual average SO₂

Highest — NT9952

1.08 µg/m³

Median

0.34 µg/m³

Lowest — NY5181

0.26 µg/m³

Source period

2024

How calculated

Range across complete intersecting source areas

Source areas

152 / 152

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled annual average for the 1 km grid square containing this postcode — an estimate from Defra's national air-quality model, not a measurement taken here. It is a BACKGROUND concentration: the roadside increment is deliberately excluded, so streets beside busy roads inside this square are worse than this figure. Model methodology changes between years, so year-on-year comparisons are indicative.

0.08 µg/m³

Annual average benzene

Highest — NT9951

0.15 µg/m³

Median

0.08 µg/m³

Lowest — NY5082

0.07 µg/m³

Source period

2024

How calculated

Range across complete intersecting source areas

Source areas

152 / 152

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled annual average for the 1 km grid square containing this postcode — an estimate from Defra's national air-quality model, not a measurement taken here. It is a BACKGROUND concentration: the roadside increment is deliberately excluded, so streets beside busy roads inside this square are worse than this figure. Model methodology changes between years, so year-on-year comparisons are indicative.

0 days

Days a year the 8-hour ozone target is exceeded

Highest — NY5181

0 days

Median

0 days

Lowest — NT7938

0 days

Source period

2024

How calculated

Range across complete intersecting source areas

Source areas

152 / 152

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Defra's published ozone metric: the modelled number of days on which the daily maximum running 8-hour concentration exceeds 120 µg/m³. It is not an annual average concentration, and Defra publish no such figure for ozone. Modelled for the 1 km square containing this postcode, not measured here, and a background estimate that excludes the roadside increment.

Estimated share of homes above the radon Action Level

1 to 3% of homes above the Action Level

11

10 to 30% of homes above the Action Level

63

3 to 5% of homes above the Action Level

26

30% or more of homes above the Action Level

Suppressed

5 to 10% of homes above the Action Level

41

Less than 1% of homes above the Action Level

Suppressed

Source period

2021

How calculated

Counts using consistent category definitions

Source areas

152 / 152

Small category cells and a complementary cell are suppressed to prevent differencing.

This is the estimated chance that a home in this 1 km square exceeds the 200 Bq/m³ radon Action Level. It is NOT a measurement of radon at this address, and no map can tell you what any individual property contains — only a test in the property itself can, over three to six months. The mapping is also deliberately precautionary: BGS class each square by the HIGHEST radon potential found anywhere within it, so most homes in a square have a lower potential than the band shown. It does not apply to basements, cellars or underground rooms at all, which should be treated as higher risk wherever they are. For a definitive assessment of a specific address, UKHSA's UKradon service sells an address report.

Whether UKHSA classify this square as radon affected

No — this square is below the Affected Area threshold

10

Yes — this square is within a radon Affected Area

142

Source period

2021

How calculated

Counts using consistent category definitions

Source areas

152 / 152

UKHSA define a radon Affected Area as one where at least one home in a hundred is expected to exceed the Action Level. This applies that definition to the indicative 1 km band, so it inherits the same precaution: the square is classed by its worst point, and most homes inside an Affected Area are not above the Action Level. Being inside one is a reason to test, not a finding about this property.

20.8%

Highest — Northumberland 001B

27.0%

Median

20.8%

Lowest — Northumberland 003B

17.8%

Source period

Census 2021

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Use England/Wales Census 2021, Scotland Census 2022 or NISRA Census 2021 according to country; these are area characteristics, not attributes of an individual postcode household.

9.8%

Highest — Carlisle 001D

11.8%

Median

9.8%

Lowest — Northumberland 001E

7.3%

Source period

Census 2021

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Use England/Wales Census 2021, Scotland Census 2022 or NISRA Census 2021 according to country; these are area characteristics, not attributes of an individual postcode household.

10.93 minutes

Modelled for a representative weekday, 2019

Highest — Carlisle 001D

86.85 minutes

Median

10.93 minutes

Lowest — Northumberland 001C

4.46 minutes

Source period

2019

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled for 2019 and never updated — the Department for Transport discontinued this series in 2025, so it cannot describe today's roads or bus services. It is a neighbourhood average computed from timetables and a network model for a representative weekday departure, not a measured journey from this address. England only: Scotland and Wales were never covered.

9.17 minutes

Modelled for a representative weekday, 2019

Highest — Northumberland 003B

41.58 minutes

Median

9.17 minutes

Lowest — Northumberland 001C

6.58 minutes

Source period

2019

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled for 2019 and never updated — the Department for Transport discontinued this series in 2025, so it cannot describe today's roads or bus services. It is a neighbourhood average computed from timetables and a network model for a representative weekday departure, not a measured journey from this address. England only: Scotland and Wales were never covered.

7.27 minutes

Modelled for a representative weekday, 2019

Highest — Northumberland 003B

20.47 minutes

Median

7.27 minutes

Lowest — Northumberland 002E

6.15 minutes

Source period

2019

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled for 2019 and never updated — the Department for Transport discontinued this series in 2025, so it cannot describe today's roads or bus services. It is a neighbourhood average computed from timetables and a network model for a representative weekday departure, not a measured journey from this address. England only: Scotland and Wales were never covered.

9.8 minutes

Modelled for a representative weekday, 2019

Highest — Northumberland 003B

49.78 minutes

Median

9.8 minutes

Lowest — Northumberland 001D

3.88 minutes

Source period

2019

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled for 2019 and never updated — the Department for Transport discontinued this series in 2025, so it cannot describe today's roads or bus services. It is a neighbourhood average computed from timetables and a network model for a representative weekday departure, not a measured journey from this address. England only: Scotland and Wales were never covered.

9.93 minutes

Modelled for a representative weekday, 2019

Highest — Northumberland 003B

30.06 minutes

Median

9.93 minutes

Lowest — Northumberland 001D

6.41 minutes

Source period

2019

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled for 2019 and never updated — the Department for Transport discontinued this series in 2025, so it cannot describe today's roads or bus services. It is a neighbourhood average computed from timetables and a network model for a representative weekday departure, not a measured journey from this address. England only: Scotland and Wales were never covered.

8.17 minutes

Modelled for a representative weekday, 2019

Highest — Northumberland 003B

15.49 minutes

Median

8.17 minutes

Lowest — Northumberland 001D

5.94 minutes

Source period

2019

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled for 2019 and never updated — the Department for Transport discontinued this series in 2025, so it cannot describe today's roads or bus services. It is a neighbourhood average computed from timetables and a network model for a representative weekday departure, not a measured journey from this address. England only: Scotland and Wales were never covered.

21.1 minutes

Modelled for a representative weekday, 2019

Highest — Carlisle 001D

120 minutes

Median

21.1 minutes

Lowest — Northumberland 001E

6.46 minutes

Source period

2019

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled for 2019 and never updated — the Department for Transport discontinued this series in 2025, so it cannot describe today's roads or bus services. It is a neighbourhood average computed from timetables and a network model for a representative weekday departure, not a measured journey from this address. England only: Scotland and Wales were never covered.

17.39 minutes

Modelled for a representative weekday, 2019

Highest — Northumberland 003B

97.78 minutes

Median

17.39 minutes

Lowest — Northumberland 001E

7.96 minutes

Source period

2019

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled for 2019 and never updated — the Department for Transport discontinued this series in 2025, so it cannot describe today's roads or bus services. It is a neighbourhood average computed from timetables and a network model for a representative weekday departure, not a measured journey from this address. England only: Scotland and Wales were never covered.

11.36 minutes

Modelled for a representative weekday, 2019

Highest — Northumberland 003B

42.19 minutes

Median

11.36 minutes

Lowest — Northumberland 001E

7.36 minutes

Source period

2019

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled for 2019 and never updated — the Department for Transport discontinued this series in 2025, so it cannot describe today's roads or bus services. It is a neighbourhood average computed from timetables and a network model for a representative weekday departure, not a measured journey from this address. England only: Scotland and Wales were never covered.

20.97 minutes

Modelled for a representative weekday, 2019

Highest — Carlisle 001D

120 minutes

Median

20.97 minutes

Lowest — Northumberland 001E

6.36 minutes

Source period

2019

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled for 2019 and never updated — the Department for Transport discontinued this series in 2025, so it cannot describe today's roads or bus services. It is a neighbourhood average computed from timetables and a network model for a representative weekday departure, not a measured journey from this address. England only: Scotland and Wales were never covered.

17.29 minutes

Modelled for a representative weekday, 2019

Highest — Northumberland 003B

98.71 minutes

Median

17.29 minutes

Lowest — Northumberland 001E

7.88 minutes

Source period

2019

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled for 2019 and never updated — the Department for Transport discontinued this series in 2025, so it cannot describe today's roads or bus services. It is a neighbourhood average computed from timetables and a network model for a representative weekday departure, not a measured journey from this address. England only: Scotland and Wales were never covered.

11.33 minutes

Modelled for a representative weekday, 2019

Highest — Northumberland 003B

42.27 minutes

Median

11.33 minutes

Lowest — Northumberland 001E

7.3 minutes

Source period

2019

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled for 2019 and never updated — the Department for Transport discontinued this series in 2025, so it cannot describe today's roads or bus services. It is a neighbourhood average computed from timetables and a network model for a representative weekday departure, not a measured journey from this address. England only: Scotland and Wales were never covered.

13.76 minutes

Modelled for a representative weekday, 2019

Highest — Carlisle 001D

116.48 minutes

Median

13.76 minutes

Lowest — Northumberland 001D

4.19 minutes

Source period

2019

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled for 2019 and never updated — the Department for Transport discontinued this series in 2025, so it cannot describe today's roads or bus services. It is a neighbourhood average computed from timetables and a network model for a representative weekday departure, not a measured journey from this address. England only: Scotland and Wales were never covered.

12.18 minutes

Modelled for a representative weekday, 2019

Highest — Carlisle 001D

53.9 minutes

Median

12.18 minutes

Lowest — Northumberland 001D

6.44 minutes

Source period

2019

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled for 2019 and never updated — the Department for Transport discontinued this series in 2025, so it cannot describe today's roads or bus services. It is a neighbourhood average computed from timetables and a network model for a representative weekday departure, not a measured journey from this address. England only: Scotland and Wales were never covered.

8.56 minutes

Modelled for a representative weekday, 2019

Highest — Carlisle 001D

26.51 minutes

Median

8.56 minutes

Lowest — Northumberland 001D

5.9 minutes

Source period

2019

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled for 2019 and never updated — the Department for Transport discontinued this series in 2025, so it cannot describe today's roads or bus services. It is a neighbourhood average computed from timetables and a network model for a representative weekday departure, not a measured journey from this address. England only: Scotland and Wales were never covered.

96.46 minutes

Modelled for a representative weekday, 2019

Highest — Northumberland 003B

120 minutes

Median

96.46 minutes

Lowest — Northumberland 001B

76.85 minutes

Source period

2019

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled for 2019 and never updated — the Department for Transport discontinued this series in 2025, so it cannot describe today's roads or bus services. It is a neighbourhood average computed from timetables and a network model for a representative weekday departure, not a measured journey from this address. England only: Scotland and Wales were never covered.

120 minutes

Modelled for a representative weekday, 2019

Highest — Northumberland 001F

120 minutes

Median

120 minutes

Lowest — Carlisle 001D

90.94 minutes

Source period

2019

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled for 2019 and never updated — the Department for Transport discontinued this series in 2025, so it cannot describe today's roads or bus services. It is a neighbourhood average computed from timetables and a network model for a representative weekday departure, not a measured journey from this address. England only: Scotland and Wales were never covered.

85.16 minutes

Modelled for a representative weekday, 2019

Highest — Northumberland 002D

96.99 minutes

Median

85.16 minutes

Lowest — Carlisle 001D

43.64 minutes

Source period

2019

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled for 2019 and never updated — the Department for Transport discontinued this series in 2025, so it cannot describe today's roads or bus services. It is a neighbourhood average computed from timetables and a network model for a representative weekday departure, not a measured journey from this address. England only: Scotland and Wales were never covered.

7.43 minutes

Modelled for a representative weekday, 2019

Highest — Carlisle 001D

26.36 minutes

Median

7.43 minutes

Lowest — Northumberland 001B

6.14 minutes

Source period

2019

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled for 2019 and never updated — the Department for Transport discontinued this series in 2025, so it cannot describe today's roads or bus services. It is a neighbourhood average computed from timetables and a network model for a representative weekday departure, not a measured journey from this address. England only: Scotland and Wales were never covered.

10.01 minutes

Modelled for a representative weekday, 2019

Highest — Carlisle 001D

54.06 minutes

Median

10.01 minutes

Lowest — Northumberland 001B

6.73 minutes

Source period

2019

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled for 2019 and never updated — the Department for Transport discontinued this series in 2025, so it cannot describe today's roads or bus services. It is a neighbourhood average computed from timetables and a network model for a representative weekday departure, not a measured journey from this address. England only: Scotland and Wales were never covered.

7.43 minutes

Modelled for a representative weekday, 2019

Highest — Carlisle 001D

26.36 minutes

Median

7.43 minutes

Lowest — Northumberland 001B

6.14 minutes

Source period

2019

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled for 2019 and never updated — the Department for Transport discontinued this series in 2025, so it cannot describe today's roads or bus services. It is a neighbourhood average computed from timetables and a network model for a representative weekday departure, not a measured journey from this address. England only: Scotland and Wales were never covered.

17.06 minutes

Modelled for a representative weekday, 2019

Highest — Carlisle 001D

120 minutes

Median

17.06 minutes

Lowest — Northumberland 001B

4.22 minutes

Source period

2019

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled for 2019 and never updated — the Department for Transport discontinued this series in 2025, so it cannot describe today's roads or bus services. It is a neighbourhood average computed from timetables and a network model for a representative weekday departure, not a measured journey from this address. England only: Scotland and Wales were never covered.

13.93 minutes

Modelled for a representative weekday, 2019

Highest — Northumberland 003B

95.2 minutes

Median

13.93 minutes

Lowest — Northumberland 001B

6.45 minutes

Source period

2019

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled for 2019 and never updated — the Department for Transport discontinued this series in 2025, so it cannot describe today's roads or bus services. It is a neighbourhood average computed from timetables and a network model for a representative weekday departure, not a measured journey from this address. England only: Scotland and Wales were never covered.

10.01 minutes

Modelled for a representative weekday, 2019

Highest — Northumberland 003B

40.94 minutes

Median

10.01 minutes

Lowest — Northumberland 001B

6.28 minutes

Source period

2019

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled for 2019 and never updated — the Department for Transport discontinued this series in 2025, so it cannot describe today's roads or bus services. It is a neighbourhood average computed from timetables and a network model for a representative weekday departure, not a measured journey from this address. England only: Scotland and Wales were never covered.

11.58 minutes

Modelled for a representative weekday, 2015

Highest — Carlisle 001D

54.72 minutes

Median

11.58 minutes

Lowest — Northumberland 001B

3.57 minutes

Source period

2015

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled for 2019 and never updated — the Department for Transport discontinued this series in 2025, so it cannot describe today's roads or bus services. It is a neighbourhood average computed from timetables and a network model for a representative weekday departure, not a measured journey from this address. England only: Scotland and Wales were never covered.

8.13 minutes

Modelled for a representative weekday, 2015

Highest — Carlisle 001D

24.75 minutes

Median

8.13 minutes

Lowest — Northumberland 001B

3.57 minutes

Source period

2015

How calculated

Range across complete intersecting source areas

Source areas

14 / 14

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled for 2019 and never updated — the Department for Transport discontinued this series in 2025, so it cannot describe today's roads or bus services. It is a neighbourhood average computed from timetables and a network model for a representative weekday departure, not a measured journey from this address. England only: Scotland and Wales were never covered.

33.3%

The share of households where one person lives alone

Highest — S00174268

98.3%

Median

33.3%

Lowest — S00173862

0.0%

Source period

2022

How calculated

Range across complete intersecting source areas

Source areas

856 / 856

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Census day in Scotland was 20 March 2022, a year after the 21 March 2021 census in England and Wales, so the two are not the same snapshot and Scotland's was taken after most coronavirus restrictions had lifted while the English and Welsh one was taken during them. Counts households, not people.

19.0%

The share of households with at least one dependent child

Highest — S00174354

78.0%

Median

19.0%

Lowest — S00173681

0.0%

Source period

2022

How calculated

Range across complete intersecting source areas

Source areas

856 / 856

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Census day in Scotland was 20 March 2022, a year after the 21 March 2021 census in England and Wales, so the two are not the same snapshot and Scotland's was taken after most coronavirus restrictions had lifted while the English and Welsh one was taken during them. A dependent child is under 16, or 16 to 18 and in full-time education.

63.5%

The share of households that own their home

Highest — S00174638

100.0%

Median

63.5%

Lowest — S00174656

3.3%

Source period

2022

How calculated

Range across complete intersecting source areas

Source areas

856 / 856

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Census day in Scotland was 20 March 2022, a year after the 21 March 2021 census in England and Wales, so the two are not the same snapshot and Scotland's was taken after most coronavirus restrictions had lifted while the English and Welsh one was taken during them. Owned outright or with a mortgage. Shared ownership is reported separately by the census and is not included here.

39.2%

The share of households that own their home with no mortgage

Highest — S00174260

96.9%

Median

39.2%

Lowest — S00173714

0.0%

Source period

2022

How calculated

Range across complete intersecting source areas

Source areas

856 / 856

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Census day in Scotland was 20 March 2022, a year after the 21 March 2021 census in England and Wales, so the two are not the same snapshot and Scotland's was taken after most coronavirus restrictions had lifted while the English and Welsh one was taken during them. Strongly associated with older households rather than with wealth alone.

20.0%

The share of households buying their home with a mortgage

Highest — S00174344

75.0%

Median

20.0%

Lowest — S00174187

0.0%

Source period

2022

How calculated

Range across complete intersecting source areas

Source areas

856 / 856

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Census day in Scotland was 20 March 2022, a year after the 21 March 2021 census in England and Wales, so the two are not the same snapshot and Scotland's was taken after most coronavirus restrictions had lifted while the English and Welsh one was taken during them. Counts the tenure, not the size of the debt.

9.8%

The share of households renting from a private landlord

Highest — S00174339

78.1%

Median

9.8%

Lowest — S00173669

0.0%

Source period

2022

How calculated

Range across complete intersecting source areas

Source areas

856 / 856

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Census day in Scotland was 20 March 2022, a year after the 21 March 2021 census in England and Wales, so the two are not the same snapshot and Scotland's was taken after most coronavirus restrictions had lifted while the English and Welsh one was taken during them. Includes renting from a private landlord, letting agency or employer.

12.8%

The share of households renting from a council or housing association

Highest — S00174354

90.2%

Median

12.8%

Lowest — S00151218

0.0%

Source period

2022

How calculated

Range across complete intersecting source areas

Source areas

856 / 856

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Census day in Scotland was 20 March 2022, a year after the 21 March 2021 census in England and Wales, so the two are not the same snapshot and Scotland's was taken after most coronavirus restrictions had lifted while the English and Welsh one was taken during them. In Scotland this includes council and housing association tenancies; the split between the two differs from England and Wales because of stock transfer, so the combined figure is the comparable one.

13.3%

The share of households with no car or van available

Highest — S00174312

70.7%

Median

13.3%

Lowest — S00173679

0.0%

Source period

2022

How calculated

Range across complete intersecting source areas

Source areas

856 / 856

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Census day in Scotland was 20 March 2022, a year after the 21 March 2021 census in England and Wales, so the two are not the same snapshot and Scotland's was taken after most coronavirus restrictions had lifted while the English and Welsh one was taken during them. Availability, not ownership — a company car counts.

45.3%

The share of households with exactly one car or van

Highest — S00174321

70.4%

Median

45.3%

Lowest — S00174676

12.2%

Source period

2022

How calculated

Range across complete intersecting source areas

Source areas

856 / 856

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Census day in Scotland was 20 March 2022, a year after the 21 March 2021 census in England and Wales, so the two are not the same snapshot and Scotland's was taken after most coronavirus restrictions had lifted while the English and Welsh one was taken during them. Availability, not ownership.

36.2%

The share of households with two or more cars or vans

Highest — S00173862

86.7%

Median

36.2%

Lowest — S00174156

0.0%

Source period

2022

How calculated

Range across complete intersecting source areas

Source areas

856 / 856

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Census day in Scotland was 20 March 2022, a year after the 21 March 2021 census in England and Wales, so the two are not the same snapshot and Scotland's was taken after most coronavirus restrictions had lifted while the English and Welsh one was taken during them. Availability, not ownership.

17.0%

The share of residents aged 16 and over with no qualifications

Highest — S00174626

60.7%

Median

17.0%

Lowest — S00173862

0.0%

Source period

2022

How calculated

Range across complete intersecting source areas

Source areas

856 / 856

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Census day in Scotland was 20 March 2022, a year after the 21 March 2021 census in England and Wales, so the two are not the same snapshot and Scotland's was taken after most coronavirus restrictions had lifted while the English and Welsh one was taken during them. Scotland records qualifications on the Scottish Credit and Qualifications Framework, which is a different ladder from the one used in England and Wales. "No qualifications" is the most nearly comparable category of the set, but it is not an identical question.

28.4%

The share of residents aged 16 and over qualified to degree level

Highest — S00174293

73.1%

Median

28.4%

Lowest — S00174576

1.5%

Source period

2022

How calculated

Range across complete intersecting source areas

Source areas

856 / 856

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Census day in Scotland was 20 March 2022, a year after the 21 March 2021 census in England and Wales, so the two are not the same snapshot and Scotland's was taken after most coronavirus restrictions had lifted while the English and Welsh one was taken during them. Scotland publishes this on the Scottish Credit and Qualifications Framework rather than the England and Wales "Level 4 and above", and the two ladders do not map one to one. Treat a Scottish and an English figure as adjacent rather than equivalent.

79.2%

The share of residents who rated their own health good or very good

Highest — S00173784

95.9%

Median

79.2%

Lowest — S00174238

42.4%

Source period

2022

How calculated

Range across complete intersecting source areas

Source areas

856 / 856

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Census day in Scotland was 20 March 2022, a year after the 21 March 2021 census in England and Wales, so the two are not the same snapshot and Scotland's was taken after most coronavirus restrictions had lifted while the English and Welsh one was taken during them. Self-reported on the same five-point scale used in England and Wales, and not age-standardised: an area with many older residents will report worse health for that reason alone.

5.0%

The share of residents born outside the United Kingdom

Highest — S00174645

27.8%

Median

5.0%

Lowest — S00151218

0.0%

Source period

2022

How calculated

Range across complete intersecting source areas

Source areas

856 / 856

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Census day in Scotland was 20 March 2022, a year after the 21 March 2021 census in England and Wales, so the two are not the same snapshot and Scotland's was taken after most coronavirus restrictions had lifted while the English and Welsh one was taken during them. Country of birth, which is not nationality and not recent migration — someone born abroad may have lived here their whole life.

99.0%

The share of residents in the largest single ethnic group

Highest — S00174693

100.0%

Median

99.0%

Lowest — S00174147

82.3%

Source period

2022

How calculated

Range across complete intersecting source areas

Source areas

856 / 856

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Census day in Scotland was 20 March 2022, a year after the 21 March 2021 census in England and Wales, so the two are not the same snapshot and Scotland's was taken after most coronavirus restrictions had lifted while the English and Welsh one was taken during them. A high share means one group predominates; it says nothing about which group. Scotland's categories differ from the England and Wales set.

3,761

Active companies whose registered office is this postcode

Source period

2026-10

How calculated

Sum of complete unique source areas

Source areas

3906 / 3906

Counts companies whose REGISTERED OFFICE is this postcode. A registered office is not a place of business: accountants and company-formation agents register thousands of companies at a single address, so a large number here usually means one agent rather than a business district. Sole traders and ordinary partnerships are not on the register at all, so this undercounts businesses as most people use the word. Only companies with an active status on the monthly snapshot are counted; dissolved and liquidating companies are excluded. No address, company name or officer detail is stored or shown.

442

Registered at this postcode and incorporated within the year

Source period

2026-10

How calculated

Sum of complete unique source areas

Source areas

3906 / 3906

Of the active companies registered at this postcode, how many were incorporated in the twelve months before the snapshot. Company formation is cheap and common, and a new company is not a new business or a new job -- many never trade. Where a formation agent uses this postcode, this number counts the agent's throughput rather than local activity. No company or address detail is stored or shown.

1,116 kWh/m²

Energy falling on a square metre of optimally angled panel

Highest — TD11 9

1,178 kWh/m²

Median

1,116 kWh/m²

Lowest — TD9 0

1,003 kWh/m²

Source period

2005-2023

How calculated

Range across complete intersecting source areas

Source areas

30 / 30

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled from satellite observations averaged over 2005-2023 for an unshaded surface at the best angle, at a point in this postcode sector. It is a property of the location and the weather, not of any building: roof pitch, direction, and shading from trees and neighbouring buildings all change what reaches an actual panel, and none of them is known here. Source: PVGIS © European Communities, 2001-2026.

3,548 kWh

A standard domestic array at the best angle, over a year

Highest — TD11 9

3,754 kWh

Median

3,548 kWh

Lowest — TD9 0

3,178 kWh

Source period

2005-2023

How calculated

Range across complete intersecting source areas

Source areas

30 / 30

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

A modelled figure for a 4 kWp roof-mounted array facing the best direction at the best angle with nothing shading it, assuming 14% system losses. It is what this LOCATION could support, not a prediction for any particular house. A north-facing roof yields around 40% of a south-facing one at the same address, and shading from a single tree can cost more than moving hundreds of miles north. Source: PVGIS © European Communities, 2001-2026.

41°

The slope that captures most energy over a year here

Highest — TD14 5

43°

Median

41°

Lowest — TD6 9

36°

Source period

2005-2023

How calculated

Range across complete intersecting source areas

Source areas

30 / 30

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

The tilt that would collect the most energy over a year at this latitude. A real installation follows the roof it is fixed to, and a fixed angle a few degrees away from optimum costs very little. Source: PVGIS © European Communities, 2001-2026.

4.24 µg/m³

Annual average fine particulate matter

Highest — NT5215

4.89 µg/m³

Median

4.24 µg/m³

Lowest — NT6366

3.76 µg/m³

Source period

2024

How calculated

Range across complete intersecting source areas

Source areas

1010 / 1010

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled annual average for the 1 km grid square containing this postcode — an estimate from Defra's national air-quality model, not a measurement taken here. It is a BACKGROUND concentration: the roadside increment is deliberately excluded, so streets beside busy roads inside this square are worse than this figure. Model methodology changes between years, so year-on-year comparisons are indicative.

7.89 µg/m³

Annual average coarse particulate matter

Highest — NT7754

9.01 µg/m³

Median

7.89 µg/m³

Lowest — NT6366

5.61 µg/m³

Source period

2024

How calculated

Range across complete intersecting source areas

Source areas

1010 / 1010

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled annual average for the 1 km grid square containing this postcode — an estimate from Defra's national air-quality model, not a measurement taken here. It is a BACKGROUND concentration: the roadside increment is deliberately excluded, so streets beside busy roads inside this square are worse than this figure. Model methodology changes between years, so year-on-year comparisons are indicative.

1.53 µg/m³

Annual average NO₂

Highest — NT5014

4.62 µg/m³

Median

1.53 µg/m³

Lowest — NT2827

1.14 µg/m³

Source period

2024

How calculated

Range across complete intersecting source areas

Source areas

1010 / 1010

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled annual average for the 1 km grid square containing this postcode — an estimate from Defra's national air-quality model, not a measurement taken here. It is a BACKGROUND concentration: the roadside increment is deliberately excluded, so streets beside busy roads inside this square are worse than this figure. Model methodology changes between years, so year-on-year comparisons are indicative.

1.86 µg/m³ as NO₂

Annual average NOx, expressed as NO₂

Highest — NT5014

5.74 µg/m³ as NO₂

Median

1.86 µg/m³ as NO₂

Lowest — NT2827

1.38 µg/m³ as NO₂

Source period

2024

How calculated

Range across complete intersecting source areas

Source areas

1010 / 1010

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled annual average for the 1 km grid square containing this postcode — an estimate from Defra's national air-quality model, not a measurement taken here. It is a BACKGROUND concentration: the roadside increment is deliberately excluded, so streets beside busy roads inside this square are worse than this figure. Model methodology changes between years, so year-on-year comparisons are indicative.

0.35 µg/m³

Annual average SO₂

Highest — NT5215

1.74 µg/m³

Median

0.35 µg/m³

Lowest — NY5497

0.25 µg/m³

Source period

2024

How calculated

Range across complete intersecting source areas

Source areas

1010 / 1010

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled annual average for the 1 km grid square containing this postcode — an estimate from Defra's national air-quality model, not a measurement taken here. It is a BACKGROUND concentration: the roadside increment is deliberately excluded, so streets beside busy roads inside this square are worse than this figure. Model methodology changes between years, so year-on-year comparisons are indicative.

0.08 µg/m³

Annual average benzene

Highest — NT5015

0.15 µg/m³

Median

0.08 µg/m³

Lowest — NT4346

0.06 µg/m³

Source period

2024

How calculated

Range across complete intersecting source areas

Source areas

1010 / 1010

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Modelled annual average for the 1 km grid square containing this postcode — an estimate from Defra's national air-quality model, not a measurement taken here. It is a BACKGROUND concentration: the roadside increment is deliberately excluded, so streets beside busy roads inside this square are worse than this figure. Model methodology changes between years, so year-on-year comparisons are indicative.

0 days

Days a year the 8-hour ozone target is exceeded

Highest — NY5998

0 days

Median

0 days

Lowest — NT1923

0 days

Source period

2024

How calculated

Range across complete intersecting source areas

Source areas

1010 / 1010

Variation across complete unique intersecting source areas; this is not a recomputed page-level statistic.

Defra's published ozone metric: the modelled number of days on which the daily maximum running 8-hour concentration exceeds 120 µg/m³. It is not an annual average concentration, and Defra publish no such figure for ozone. Modelled for the 1 km square containing this postcode, not measured here, and a background estimate that excludes the roadside increment.

Estimated share of homes above the radon Action Level

1 to 3% of homes above the Action Level

324

10 to 30% of homes above the Action Level

99

3 to 5% of homes above the Action Level

113

30% or more of homes above the Action Level

16

5 to 10% of homes above the Action Level

118

Less than 1% of homes above the Action Level

340

Source period

2021

How calculated

Counts using consistent category definitions

Source areas

1010 / 1010

This is the estimated chance that a home in this 1 km square exceeds the 200 Bq/m³ radon Action Level. It is NOT a measurement of radon at this address, and no map can tell you what any individual property contains — only a test in the property itself can, over three to six months. The mapping is also deliberately precautionary: BGS class each square by the HIGHEST radon potential found anywhere within it, so most homes in a square have a lower potential than the band shown. It does not apply to basements, cellars or underground rooms at all, which should be treated as higher risk wherever they are. For a definitive assessment of a specific address, UKHSA's UKradon service sells an address report.

Whether UKHSA classify this square as radon affected

No — this square is below the Affected Area threshold

340

Yes — this square is within a radon Affected Area

670

Source period

2021

How calculated

Counts using consistent category definitions

Source areas

1010 / 1010

UKHSA define a radon Affected Area as one where at least one home in a hundred is expected to exceed the Action Level. This applies that definition to the indicative 1 km band, so it inherits the same precaution: the square is classed by its worst point, and most homes inside an Affected Area are not above the Action Level. Being inside one is a reason to test, not a finding about this property.